The effects of innovative, consumer and social characteristics on willingness to try nano-foods: Product uncertainty as a moderator

By integrating the diffusion of innovation (DOI) theory, technology acceptance model (TAM), and social capital theory, the purpose of this paper is to: develop a model of consumer behavior and trial willingness toward nano-foods from product, consumer, and social perspectives; examine the effects of innovative features, consumer characteristics, and trust in authority on subjective perceptions (perceived trustworthiness and perceived benefit) as well as the social influence on attitudes toward nano-foods and trial willingness; examine the moderating role of product uncertainty on the relationship between these characteristics and subjective perceptions; and examine the effect of perceived benefit on perceived trustworthiness.,The results of the structural equation model (SEM), with nano-food knowledge data collected from 431 respondents, supported the research model and revealed the main effects hypothesized in this study and the moderating effect of product uncertainty. Simple slope analysis was further adopted to test the significant moderating effects.,The SEM results indicated that innovative characteristics (relative advantage, lack of observability, and novelty), consumer characteristics (perceived technology application), and social characteristics (trust in authority) affect perceived trustworthiness or perceived benefit. Social influence also has a direct effect on attitude toward nano-foods and trial willingness. Product uncertainty significantly moderates the relationship between characteristics (relative advantage and perceived technology application) and subjective perceptions (perceived trustworthiness and perceived benefit).,With increasing numbers and kinds of nanotechnology products now being developed and sold, it is important to go further to determine consumer perceptions and attitudes toward these. This study, thus, applied the DOI, TAM, and social capital theory to examine this issue. However, other theories might also be used to carry out research from other perspectives. This study should, thus, be seen as preliminary, and it is hoped that more works will discuss consumer attitudes toward nanotechnology products in the future.,When a new nano-food is introduced, the current study suggests that food manufacturers use the description on the package as a communicative tool. Detailing the advantages of nano-foods on food packages might be a useful way to enhance trial willingness and to reduce the fears and insecurities related to the use of nano-related products. In addition, if food manufacturers could cooperate with organizations or individuals seen as having some authority in this area (e.g. nanotechnology researchers) in order to disseminate accurate information about nanotechnology and related food products, this might be an effective way to increase sales and profits.,This is the first paper integrating the DOI, the social capital theory and the TAM to empirically investigate consumer willingness to try nano-food products.

[1]  T. Xia,et al.  Toxic Potential of Materials at the Nanolevel , 2006, Science.

[2]  Ing-Long Wu,et al.  A hybrid technology acceptance approach for exploring e-CRM adoption in organizations , 2005, Behav. Inf. Technol..

[3]  Janet Buckenmeyer Beyond Computers in the Classroom: Factors Related to Technology Adoption to Enhance Teaching and Learning. , 2010 .

[4]  Omar El Sawy,et al.  The Four Tigers of Global E-Business Infrastructure: Strategies and Implications for Emerging Economies , 2003, Commun. Assoc. Inf. Syst..

[5]  Songpol Kulviwat,et al.  The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption , 2009 .

[6]  S. Henson Demand-side constraints on the introduction of new food technologies: The case of food irradiation , 1995 .

[7]  Huub Lelieveld,et al.  Fundamentals in Management of Food Safety in the Industrial Setting: Challenges and Outlook of the 21st Century , 2014 .

[8]  M. Nakajima,et al.  β-Carotene nanodispersions: preparation, characterization and stability evaluation , 2005 .

[9]  G. Oberdörster,et al.  Nanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles , 2005, Environmental health perspectives.

[10]  Vishanth Weerakkody,et al.  Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation , 2013, Int. J. Inf. Manag..

[11]  Shuiqing Yang,et al.  Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective , 2011, Inf. Manag..

[12]  Reinhard Bachmann,et al.  At the crossroads: Future directions in trust research , 2011 .

[13]  Arun Vishwanath,et al.  An Examination of the Factors Contributing to Adoption Decisions among Late-Diffused Technology Products , 2003, New Media Soc..

[14]  Jae-Eun Chung,et al.  Antecedents to new food product purchasing behavior among innovator groups in India , 2004 .

[15]  Mary Jo Bitner,et al.  Choosing among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies , 2005 .

[16]  Arch G. Woodside,et al.  Modeling innovation, manufacturing, diffusion and adoption/rejection processes , 2005 .

[17]  Hsi-Peng Lu,et al.  The role of experience and innovation characteristics in the adoption and continued use of e-learning websites , 2008, Comput. Educ..

[18]  France Bélanger,et al.  Factors influencing the adoption of web-based shopping: the impact of trust , 2004, DATB.

[19]  Andreas Eggert,et al.  Customer perceived value: a substitute for satisfaction in business markets? , 2002 .

[20]  Benjamin M. Onyango,et al.  Product Attributes and Consumer Acceptance of Nutritionally Enhanced Genetically Modified Foods , 2004 .

[21]  L. Cronbach Coefficient alpha and the internal structure of tests , 1951 .

[22]  Kerk F. Kee,et al.  Is There Social Capital in a Social Network Site?: Facebook Use and College Students’ Life Satisfaction, Trust, and Participation 1 , 2009 .

[23]  R. Shepherd,et al.  Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour , 2008, Appetite.

[24]  Christopher L. Cummings,et al.  Investigating factors influencing consumer willingness to buy GM food and nano-food , 2015, Journal of Nanoparticle Research.

[25]  Andreas Chai,et al.  Consumer Specialization and the Demand for Novelty: a Reconsideration of the Links and Implications for Studying Fashion Cycles in Tourism , 2012 .

[26]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[27]  K. Moore,et al.  Attitudes and intentions towards purchasing GM food , 2002 .

[28]  Dorothy Williams,et al.  Teachers and ICT: current use and future needs , 2000, Br. J. Educ. Technol..

[29]  W. Adger,et al.  Social Capital, Collective Action, and Adaptation to Climate Change , 2003 .

[30]  Paul Slovic,et al.  Expert and Public Perception of Risk from Biotechnology , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[31]  Sang M. Lee,et al.  Consumers' Initial Trust toward Second-Hand Products in the Electronic Market , 2005, J. Comput. Inf. Syst..

[32]  Michael Siegrist,et al.  Factors influencing public acceptance of innovative food technologies and products , 2008 .

[33]  L. Singh,et al.  Beneficial role of nanosilica in cement based materials – A review , 2013 .

[34]  Scot Burton,et al.  A scale for measuring attitude toward private label products and an examination of its psychological and behavioral correlates , 1998 .

[35]  Ioannis S. Arvanitoyannis,et al.  Consumers’ beliefs, attitudes and intentions towards genetically modified foods, based on the ’perceived safety vs. benefits’ perspective , 2005 .

[36]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[37]  Adam Lindgreen,et al.  Trust as a valuable strategic variable in the food industry: different types of trust and their implementation , 2003 .

[38]  K. E. Barron,et al.  Testing Moderator and Mediator Effects in Counseling Psychology Research. , 2004 .

[39]  Mohammad Chuttur,et al.  Overview of the Technology Acceptance Model: Origins, Developments and Future Directions , 2009 .

[40]  Ibrahim M. Al-Jabri,et al.  Mobile Banking Adoption: Application of Diffusion of Innovation Theory , 2012 .

[41]  Carlos Flavián Blanco,et al.  Consequences of consumer trust in PDO food products: the role of familiarity , 2011 .

[42]  H. Tuorila,et al.  Predicting the Intent to Purchase Unfamiliar and Familiar Cheeses: The Effects of Attitudes, Expected Liking and Food Neophobia , 1999, Appetite.

[43]  Todd Makse,et al.  The Role of Policy Attributes in the Diffusion of Innovations , 2011 .

[44]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[45]  Angela Lin,et al.  Cloud computing as an innovation: Percepetion, attitude, and adoption , 2012, Int. J. Inf. Manag..

[46]  Michael D. Cobb,et al.  Public perceptions about nanotechnology: Risks, benefits and trust , 2004, Emerging Technologies: Ethics, Law and Governance.

[47]  Jochen Weiss,et al.  Functional Materials in Food Nanotechnology , 2006 .

[48]  Mario Bourgault,et al.  Dimensions of Uncertainty and Their Moderating Effect on New Product Development Project Performance , 2008 .

[49]  Reint Jan Renes,et al.  Expert views on critical success and failure factors for nutrigenomics , 2007 .

[50]  Lili Zheng,et al.  Chinese consumer perceived risk and risk relievers , 2012 .

[51]  C. Castelfranchi,et al.  Social Trust : A Cognitive Approach , 2000 .

[52]  Pirjo Honkanen,et al.  Intention to consume seafood—the importance of habit , 2005, Appetite.

[53]  Elias G. Carayannis,et al.  The Nature and Dynamics of Discontinuous and Disruptive Innovations from a Learning and Knowledge Management Perspective , 2003 .

[54]  Christoph Lattemann,et al.  USER ACCEPTANCE OF VIRTUAL WORLDS , 2008 .

[55]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[56]  S. West,et al.  Teacher's Corner: Testing Measurement Invariance of Second-Order Factor Models , 2005 .

[57]  David Tolfree Commercialising Nanotechnology concepts-products-markets , 2006 .

[58]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[59]  M. Laroche,et al.  Brand familiarity and confidence as determinants of purchase intention: An empirical test in a multiple brand context , 1996 .

[60]  Anna M. Waldron,et al.  The current state of public understanding of nanotechnology , 2006 .

[61]  Ronald C Plotnikoff,et al.  Factors influencing the adoption of an innovation: An examination of the uptake of the Canadian Heart Health Kit (HHK) , 2008, Implementation science : IS.

[62]  Rosires Deliza,et al.  Application of high pressure technology in the fruit juice processing: benefits perceived by consumers , 2005 .

[63]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[64]  M. Smithson Ignorance and Uncertainty , 1989, Cognitive Science.

[65]  Said S. Al-gahtani Computer technology adoption in Saudi Arabia: Correlates of perceived innovation attributes , 2003 .

[66]  Zhongjun Tang,et al.  Antecedents of intention to purchase mass customized products , 2011 .

[67]  M. Siegrist Belief in gene technology : The influence of environmental attitudes and gender , 1998 .

[68]  W. S. Chow,et al.  Social network, social trust and shared goals in organizational knowledge sharing , 2008, Inf. Manag..

[69]  Mei-Fang Chen,et al.  An integrated research framework to understand consumer attitudes and purchase intentions toward genetically modified foods , 2008 .

[70]  Michael Siegrist,et al.  Acceptance of nanotechnology in food and food packaging: a path model analysis , 2010 .

[71]  Frank Q. Fu,et al.  The Moderating Effect of Perceived Product Innovativeness and Product Knowledge on New Product Adoption: An Integrated Model , 2013 .

[72]  Chulmo Koo,et al.  Examination of how social aspects moderate the relationship between task characteristics and usage of social communication technologies (SCTs) in organizations , 2011, Int. J. Inf. Manag..

[73]  Michael Siegrist,et al.  Factors Influencing People’s Acceptance of Gene Technology: The Role of Knowledge, Health Expectations, Naturalness, and Social Trust , 2010 .

[74]  Mahmud Al Kailani,et al.  Investigating Uncertainty Avoidance and Perceived Risk for Impacting Internet Buying: A Study in Three National Cultures , 2011 .

[75]  Charles M. Wood,et al.  Incorporating Perceived Risk Into Models of Consumer Deal Assessment and Purchase Intent , 1996 .

[76]  Timothy C. Earle,et al.  Social Trust , 1995 .

[77]  Graciela Wild Padua,et al.  Nanotechnology research methods for foods and bioproducts. , 2012 .

[78]  Mei-Fang Chen,et al.  The consumer’s attitude toward genetically modified foods in Taiwan , 2007 .

[79]  Michael Siegrist,et al.  Perceived risks and perceived benefits of different nanotechnology foods and nanotechnology food packaging , 2008, Appetite.

[80]  Ping Yu,et al.  Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic , 2015, BMC Health Services Research.

[81]  Angelika Dimoka,et al.  On Product Uncertainty in Online Markets: Theory and Evidence , 2011, MIS Q..

[82]  Bruce V. Lewenstein,et al.  Public Attitudes toward Emerging Technologies , 2005 .

[83]  Richard E. Plank,et al.  Methods in Sales Research: Perceived Trust in Business-to-Business Sales: A New Measure , 2013 .

[84]  Josephine Chinying Lang,et al.  Social context and social capital as enablers of knowledge integration , 2004, J. Knowl. Manag..

[85]  Kuo-Ming Chu,et al.  Motives for participation in Internet innovation intermediary platforms , 2013, Inf. Process. Manag..

[86]  Howard R. Moskowitz,et al.  Steps towards a consumer-driven ‘concept innovation machine’ for food and drink , 2006 .

[87]  Hsin-Chieh Wu,et al.  Determinants of RFID adoption intention: Evidence from Taiwanese retail chains , 2010, Inf. Manag..

[88]  Jose Maria Gil,et al.  Structural equation modelling of consumer acceptance of genetically modified (GM) food in the Mediterranean Europe: A cross country study , 2009 .

[89]  Nena Lim,et al.  Consumers' perceived risk: sources versus consequences , 2003, Electron. Commer. Res. Appl..

[90]  F. Selnes Antecedents and consequences of trust and satisfaction in buyer‐seller relationships , 1998 .

[91]  R. Thakur,et al.  A Parsimonious Model of the Antecedents and Consequence of Online Trust: An Uncertainty Perspective , 2008 .

[92]  Gordon Meyer,et al.  Social Information Processing and Social Networks: A Test of Social Influence Mechanisms , 1994 .

[93]  S. Marette,et al.  The public understanding of nanotechnology in the food domain , 2011, Public understanding of science.

[94]  Frans W. A. Brom,et al.  From Trust to Trustworthiness: Why Information is not Enough in the Food Sector , 2006 .

[95]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[96]  M. Siegrist The Influence of Trust and Perceptions of Risks and Benefits on the Acceptance of Gene Technology , 2000, Risk analysis : an official publication of the Society for Risk Analysis.

[97]  Kianoush Khosravi-Darani,et al.  The Applications of Nanotechnology in Food Industry , 2011, Critical reviews in food science and nutrition.

[98]  Thomas Hess,et al.  Product fit uncertainty and its effects on vendor choice: an experimental study , 2015, Electronic Markets.

[99]  J. Chung,et al.  Consumer purchase intention for organic personal care products , 2011 .

[100]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[101]  Hung-Pin Shih,et al.  Using a cognition-motivation-control view to assess the adoption intention for Web-based learning , 2008, Comput. Educ..

[102]  I. Ajzen,et al.  Attitude-behavior relations: A theoretical analysis and review of empirical research. , 1977 .

[103]  Lin Li,et al.  POLYMER NANOCOMPOSITES BASED ON FUNCTIONALIZED CARBON NANOTUBES , 2010 .

[104]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[105]  Robert W. Veryzer Key factors affecting customer evaluation of discontinuous new products , 1998 .

[106]  Rickey Y. Yada,et al.  Nanotechnology and functional foods : effective delivery of bioactive ingredients , 2015 .

[107]  Hsin Hsin Chang,et al.  Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator , 2011, Inf. Manag..

[108]  L. J. Frewer,et al.  Consumer acceptance of technology-based food innovations: Lessons for the future of nutrigenomics , 2007, Appetite.

[109]  H. Kastenholz,et al.  Public acceptance of nanotechnology foods and food packaging: The influence of affect and trust , 2007, Appetite.

[110]  R. Ravichandran,et al.  Nanotechnology Applications in Food and Food Processing: Innovative Green Approaches, Opportunities and Uncertainties for Global Market , 2010 .

[111]  Aurélie Leclercq Vandelannoitte Managing BYOD: how do organizations incorporate user-driven IT innovations? , 2015 .

[112]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[113]  Enrique P. Becerra,et al.  Effects of trust beliefs on consumers' online intentions , 2011 .

[114]  Chih-Cheng Lo,et al.  An empirical study of commercialization performance on nanoproducts , 2012 .

[115]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[116]  S. Sundqvist,et al.  Measuring inter-organizational trust—a critical review of the empirical research in 1990–2003 , 2007 .

[117]  Jae-Nam Lee,et al.  Standing Between Purchase Intention And Action: Product Value And Its Uncertainty , 2011, PACIS.

[118]  George S. Spais,et al.  Service Quality and Customer Satisfaction in Banks During an Economic Recession and Banking Crisis Period: The Critical Case of a Greek Co-Operative Bank , 2015 .

[119]  Peerasak Sanguansri,et al.  Nanoscale materials development - a food industry perspective , 2006 .

[120]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[121]  E. Rogers Diffusion of Innovations , 1962 .

[122]  Sangjae Lee,et al.  Factors affecting the implementation success of Internet-based information systems , 2007, Comput. Hum. Behav..

[123]  P. Sheeran,et al.  Social Influences and the Theory of Planned Behaviour: Evidence for a Direct Relationship Between Prototypes and Young People's Exercise Behaviour , 2003 .

[124]  Wim Verbeke,et al.  Functional foods: Consumer willingness to compromise on taste for health? , 2006 .

[125]  Jozef L. Kokini,et al.  Nucleation and Expansion During Extrusion and Microwave Heating of Cereal Foods. , 2003, Comprehensive reviews in food science and food safety.

[126]  Isan Zahra,et al.  Destination image and tourism: A case study of Bangladesh , 2012 .

[127]  Yu Min Wang,et al.  Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .

[128]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[129]  Prashant Palvia,et al.  Trust and knowledge sharing in diverse global virtual teams , 2013, Inf. Manag..

[130]  I. Ajzen The theory of planned behavior , 1991 .

[131]  P. Pliner,et al.  Development of a scale to measure the trait of food neophobia in humans , 1992, Appetite.

[132]  Daniel J. Bauer,et al.  Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis , 2006 .

[133]  Thomas A. Brush,et al.  Integrating technology into K-12 teaching and learning: current knowledge gaps and recommendations for future research , 2007 .

[134]  W. Verbeke,et al.  Ethnic food attitudes and behaviour among Belgians and Hispanics living in Belgium , 2005 .

[135]  Tsun-Jen Cheng,et al.  Public attitudes toward nanotechnology applications in Taiwan , 2013 .

[136]  H. Kastenholz,et al.  Acceptance of nanotechnology foods: a conjoint study examining consumers' willingness to buy , 2009 .

[137]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[138]  Joseph S. Valacich,et al.  The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective , 2010, Decis. Sci..

[139]  Gurjeet Kaur,et al.  Factors obstructing intentions to trust and purchase products online , 2015 .

[140]  Elias Mossialos,et al.  Are perceptions of ‘risks’ and ‘benefits’ of genetically modified food (in)dependent? , 2007 .

[141]  Hsin Hsin Chang,et al.  Task-technology fit and user acceptance of online auction , 2010, Int. J. Hum. Comput. Stud..

[142]  Y. Kim,et al.  The relationships between food-related personality traits, satisfaction, and loyalty among visitors attending food events and festivals , 2010 .

[143]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[144]  K. Grunert Current issues in the understanding of consumer food choice , 2002 .

[145]  Huei Huang Kuan,et al.  The progression of online trust in the multi-channel retailer context and the role of product uncertainty , 2012, Decis. Support Syst..

[146]  Yikuan Lee,et al.  The Impact of Communication Strategy on Launching New Products: The Moderating Role of Product Innovativeness , 2003 .

[147]  Joachim Scholderer,et al.  Four questions on European consumers’ attitudes toward the use of genetic modification in food production , 2003 .

[148]  J Lynne Brown,et al.  Consumer perception of risk associated with eating genetically engineered soybeans is less in the presence of a perceived consumer benefit. , 2003, Journal of the American Dietetic Association.

[149]  Jordi Arbiol,et al.  Induced shape controllability by tailored precursor design in thermal and microwave-assisted synthesis of $$\mathrm{Fe}_{3}\mathrm{O}_{4}$$Fe3O4 nanoparticles , 2015 .

[150]  Mei‐Fang Chen Consumer attitudes and purchase intentions in relation to organic foods in Taiwan: Moderating effects of food-related personality traits , 2007 .

[151]  Wim Verbeke,et al.  Consumer-driven definition of traditional food products and innovation in traditional foods. A qualitative cross-cultural study , 2009, Appetite.

[152]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[153]  Kwoting Fang,et al.  The use of a decomposed theory of planned behavior to study Internet banking in Taiwan , 2004, Internet Res..

[154]  L. Bredahl Determinants of Consumer Attitudes and Purchase Intentions With Regard to Genetically Modified Food – Results of a Cross-National Survey , 2001 .