54 research outputs found

    China’s steel industry as a driving force for economic growth and international competitiveness

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    The theory that we shall seek to elaborate here puts considerable emphasis on technological features of China’s steel production, its emergence as the world’s most significant steel producer and main manufacturing base, and the transitory decline in steel demand related to the international financial crisis. The purpose of this article is to gain a deeper understanding of the global incorporation of China’s steel enterprises, its portion of worldwide steel consumption, and its industrial policy scheme for the steel sector. This research makes conceptual and methodological contributions to the steel products supply chain in China, the deficiencies of production overcapacity and atomization in China’s steel industry, and market chances for the Chinese steel sector

    Between the blabbering noise of individuals or the silent dialogue of many: a collective response to 'Postdigital Science and Education' (Jandrić et al. 2018)

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    This article is a multi-authored response to an editorial ‵Postdigital Science and Education′ published in 2018 by Petar Jandrić, Jeremy Knox, Tina Besley, Thomas Ryberg, Juha Suoranta and Sarah Hayes in Educational Philosophy and Theory as a mission statement for the journal Postdigital Science and Education. Nineteen authors were invited to produce their sections, followed by two author-reviewers who examined the article as a whole. Authors’ responses signal the sense of urgency for developing the concept of the postdigital and caution about attempts at simplifying complex relationships between human beings and technology. Whilst the digital indeed seems to become invisible, we simultaneously need to beware of its apparent absence and to avoid over-emphasizing its effects. In this attempt, authors offer a wide range of signposts for future research such as ‘the critical postdigital’ and ‘postdigital reflexivity’; they also warn about the group’s own shortcomings such as the lack of ‘real’ sense of collectivity. They emphasize that postdigital education must remain a common good, discuss its various negative aspects such as smartphone addiction and nomophobia, and exhibit some positive examples of postdigital educational praxis. They discuss various aspects of postdigital identities and point towards the need for a postdigital identity theory. With these varied and nuanced responses, the article opens a wide spectrum of opportunity for the development of postdigital approaches to science and education for the future

    Recognizing decision-making using eye movement: A case study with children

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    [EN] The use of visual attention for evaluating consumer behavior has become a relevant field in recent years, allowing researchers to understand the decision-making processes beyond classical self-reports. In our research, we focused on using eye-tracking as a method to understand consumer preferences in children. Twenty-eight subjects with ages between 7 and 12 years participated in the experiment. Participants were involved in two consecutive phases. The initial phase consisted of the visualization of a set of stimuli for decision-making in an eight-position layout called Alternative Forced-choice. Then the subjects were asked to freely analyze the set of stimuli, they needed to choose the best in terms of preference. The sample was randomly divided into two groups balanced by gender. One group visualized a set of icons and the other a set of toys. The final phase was an independent assessment of each stimulus viewed in the initial phase in terms of liking/disliking using a 7-point Likert scale. Sixty-four stimuli were designed for each of the groups. The visual attention was measured using a non-obstructive eye-tracking device. The results revealed two novel insights. Firstly, the time of fixation during the last four visits to each stimulus before the decision-making instant allows us to recognize the icon or toy chosen from the eight alternatives with a 71.2 and 67.2% of accuracy, respectively. The result supports the use of visual attention measurements as an implicit tool to analyze decision-making and preferences in children. Secondly, eye movement and the choice of liking/disliking choice are influenced by stimuli design dimensions. The icon observation results revealed how gender samples have different fixation and different visit times which depend on stimuli design dimension. The toy observations results revealed how the materials determinate the largest amount fixations, also, the visit times were differentiated by gender. This research presents a relevant empirical data to understand the decision-making phenomenon by analyzing eye movement behavior. The presented method can be applied to recognize the choice likelihood between several alternatives. Finally, children's opinions represent an extra difficulty judgment to be determined, and the eye-tracking technique seen as an implicit measure to tackle it.The authors thank Design Deparment of Tecnologico de Monterrey and I3B - Universitat Politecnica de Valencia for their support in the development of this work.Rojas, J.; Marín-Morales, J.; Ausin Azofra, JM.; Contero, M. (2020). Recognizing decision-making using eye movement: A case study with children. Frontiers in Psychology. 11:1-11. https://doi.org/10.3389/fpsyg.2020.570470S11111Arkes, H. R., Gigerenzer, G., & Hertwig, R. (2016). How bad is incoherence? Decision, 3(1), 20-39. doi:10.1037/dec0000043Bell, L., Vogt, J., Willemse, C., Routledge, T., Butler, L. T., & Sakaki, M. (2018). Beyond Self-Report: A Review of Physiological and Neuroscientific Methods to Investigate Consumer Behavior. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.01655Blanco, S., Dietmann, S., Flores, J. V., Hussain, S., Kutter, C., Humphreys, P., … Frye, M. (2014). Aberrant methylation of t RNA s links cellular stress to neuro‐developmental disorders. The EMBO Journal, 33(18), 2020-2039. doi:10.15252/embj.201489282Chambers, C. T. (2002). Developmental Differences in Children’s Use of Rating Scales. Journal of Pediatric Psychology, 27(1), 27-36. doi:10.1093/jpepsy/27.1.27Cowart, K. O., Fox, G. L., & Wilson, A. E. (2008). A structural look at consumer innovativeness and self-congruence in new product purchases. Psychology and Marketing, 25(12), 1111-1130. doi:10.1002/mar.20256Crone, E. A., & Richard Ridderinkhof, K. (2011). The developing brain: From theory to neuroimaging and back. Developmental Cognitive Neuroscience, 1(2), 101-109. doi:10.1016/j.dcn.2010.12.001Djamasbi, S., Siegel, M., & Tullis, T. (2010). Generation Y, web design, and eye tracking. International Journal of Human-Computer Studies, 68(5), 307-323. doi:10.1016/j.ijhcs.2009.12.006Fantz, R. L. (1963). Pattern Vision in Newborn Infants. Science, 140(3564), 296-297. doi:10.1126/science.140.3564.296Fantz, R. L. (1964). Visual Experience in Infants: Decreased Attention to Familiar Patterns Relative to Novel Ones. Science, 146(3644), 668-670. doi:10.1126/science.146.3644.668Festila, A., & Chrysochou, P. (2018). Implicit communication of food product healthfulness through package design: A content analysis. Journal of Consumer Behaviour, 17(5), 461-476. doi:10.1002/cb.1732Glaholt, M. G., & Reingold, E. M. (2009). The time course of gaze bias in visual decision tasks. Visual Cognition, 17(8), 1228-1243. doi:10.1080/13506280802362962Glaholt, M. G., & Reingold, E. M. (2012). Direct control of fixation times in scene viewing: Evidence from analysis of the distribution of first fixation duration. Visual Cognition, 20(6), 605-626. doi:10.1080/13506285.2012.666295Glaholt, M. G., & Reingold, E. M. (2007). Predicting Preference From Fixations. PsycEXTRA Dataset. doi:10.1037/e527342012-455Green-Armytage, P. (2006). The value of knowledge for colour design. Color Research & Application, 31(4), 253-269. doi:10.1002/col.20222Grunert, K. G., Bredahl, L., & Brunsø, K. (2004). Consumer perception of meat quality and implications for product development in the meat sector—a review. Meat Science, 66(2), 259-272. doi:10.1016/s0309-1740(03)00130-xHelo, A., Pannasch, S., Sirri, L., & Rämä, P. (2014). The maturation of eye movement behavior: Scene viewing characteristics in children and adults. Vision Research, 103, 83-91. doi:10.1016/j.visres.2014.08.006Hertenstein, J. H., Platt, M. B., & Veryzer, R. W. (2013). What Is «Good Design»?: An Investigation of the Complexity and Structure of Design. Design Management Journal, 8(1), 8-21. doi:10.1111/dmj.12000Hsu, M. (2017). Neuromarketing: Inside the Mind of the Consumer. California Management Review, 59(4), 5-22. doi:10.1177/0008125617720208Hsu, M., & Yoon, C. (2015). The neuroscience of consumer choice. Current Opinion in Behavioral Sciences, 5, 116-121. doi:10.1016/j.cobeha.2015.09.005Hubert, M. (2010). Does neuroeconomics give new impetus to economic and consumer research? Journal of Economic Psychology, 31(5), 812-817. doi:10.1016/j.joep.2010.03.009Hubert, M., & Kenning, P. (2008). A current overview of consumer neuroscience. Journal of Consumer Behaviour, 7(4-5), 272-292. doi:10.1002/cb.251Hult, G. T. M., Sharma, P. N., Morgeson, F. V., & Zhang, Y. (2019). Antecedents and Consequences of Customer Satisfaction: Do They Differ Across Online and Offline Purchases? Journal of Retailing, 95(1), 10-23. doi:10.1016/j.jretai.2018.10.003Joško Brakus, J., Schmitt, B. H., & Zhang, S. (2014). Experiential product attributes and preferences for new products: The role of processing fluency. Journal of Business Research, 67(11), 2291-2298. doi:10.1016/j.jbusres.2014.06.017Kareklas, I., Brunel, F. F., & Coulter, R. A. (2014). Judgment is not color blind: The impact of automatic color preference on product and advertising preferences. Journal of Consumer Psychology, 24(1), 87-95. doi:10.1016/j.jcps.2013.09.005Karmarkar, U. R., & Plassmann, H. (2017). Consumer Neuroscience: Past, Present, and Future. Organizational Research Methods, 22(1), 174-195. doi:10.1177/1094428117730598Kuijpers, R. C. W. M., Otten, R., Vermulst, A. A., & Engels, R. C. M. E. (2014). Reliability and Construct Validity of a Child Self-Report Instrument. European Journal of Psychological Assessment, 30(1), 40-47. doi:10.1027/1015-5759/a000166Kwon, O. B., Kim, C.-R., & Lee, E. J. (2002). Impact of website information design factors on consumer ratings of web-based auction sites. Behaviour & Information Technology, 21(6), 387-402. doi:10.1080/0144929021000050256Laforet, S. (2011). Brand names on packaging and their impact on purchase preference. Journal of Consumer Behaviour, 10(1), 18-30. doi:10.1002/cb.343Lăzăroiu, G., Pera, A., Ștefănescu-Mihăilă, R. O., Mircică, N., & Negurită, O. (2017). Can Neuroscience Assist Us in Constructing Better Patterns of Economic Decision-Making? Frontiers in Behavioral Neuroscience, 11. doi:10.3389/fnbeh.2017.00188Liao, H.-I., Shimojo, S., & Yeh, S.-L. (2013). Happy faces are preferred regardless of familiarity—sad faces are preferred only when familiar. Emotion, 13(3), 391-396. doi:10.1037/a0030861Liao, H.-I., Yeh, S.-L., & Shimojo, S. (2011). Novelty vs. Familiarity Principles in Preference Decisions: Task-Context of Past Experience Matters. Frontiers in Psychology, 2. doi:10.3389/fpsyg.2011.00043Lieberman, M. D. (2007). Social Cognitive Neuroscience: A Review of Core Processes. Annual Review of Psychology, 58(1), 259-289. doi:10.1146/annurev.psych.58.110405.085654Lin, L. (2010). The relationship of consumer personality trait, brand personality and brand loyalty: an empirical study of toys and video games buyers. Journal of Product & Brand Management, 19(1), 4-17. doi:10.1108/10610421011018347Luo, M. R. (2006). Applying colour science in colour design. Optics & Laser Technology, 38(4-6), 392-398. doi:10.1016/j.optlastec.2005.06.025Marewski, J. N., Gaissmaier, W., & Gigerenzer, G. (2009). Good judgments do not require complex cognition. Cognitive Processing, 11(2), 103-121. doi:10.1007/s10339-009-0337-0Mitsuda, T., & Glaholt, M. G. (2014). Gaze bias during visual preference judgements: Effects of stimulus category and decision instructions. Visual Cognition, 22(1), 11-29. doi:10.1080/13506285.2014.881447Morii, M., & Sakagami, T. (2015). The effect of gaze-contingent stimulus elimination on preference judgments. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01351OCHSNER, K., & GROSS, J. (2005). The cognitive control of emotion. Trends in Cognitive Sciences, 9(5), 242-249. doi:10.1016/j.tics.2005.03.010Pachur, T., Todd, P. M., Gigerenzer, G., Schooler, L. J., & Goldstein, D. G. (2011). The Recognition Heuristic: A Review of Theory and Tests. Frontiers in Psychology, 2. doi:10.3389/fpsyg.2011.00147Park, J., Shimojo, E., & Shimojo, S. (2010). Roles of familiarity and novelty in visual preference judgments are segregated across object categories. Proceedings of the National Academy of Sciences, 107(33), 14552-14555. doi:10.1073/pnas.1004374107Poels, K., & Dewitte, S. (2006). How to Capture the Heart? Reviewing 20 Years of Emotion Measurement in Advertising. Journal of Advertising Research, 46(1), 18-37. doi:10.2501/s0021849906060041Qu, Q.-X., & Guo, F. (2019). Can eye movements be effectively measured to assess product design?: Gender differences should be considered. International Journal of Industrial Ergonomics, 72, 281-289. doi:10.1016/j.ergon.2019.06.006Rojas, J.-C., Contero, M., Bartomeu, N., & Guixeres, J. (2015). Using Combined Bipolar Semantic Scales and Eye-Tracking Metrics to Compare Consumer Perception of Real and Virtual Bottles. Packaging Technology and Science, 28(12), 1047-1056. doi:10.1002/pts.2178Saegusa, C., Intoy, J., & Shimojo, S. (2015). Visual attractiveness is leaky: the asymmetrical relationship between face and hair. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.00377Shimojo, S., Simion, C., Shimojo, E., & Scheier, C. (2003). Gaze bias both reflects and influences preference. Nature Neuroscience, 6(12), 1317-1322. doi:10.1038/nn1150Simion, C., & Shimojo, S. (2006). Early interactions between orienting, visual sampling and decision making in facial preference. Vision Research, 46(20), 3331-3335. doi:10.1016/j.visres.2006.04.019Simion, C., & Shimojo, S. (2007). Interrupting the cascade: Orienting contributes to decision making even in the absence of visual stimulation. Perception & Psychophysics, 69(4), 591-595. doi:10.3758/bf03193916Smidts, A., Hsu, M., Sanfey, A. G., Boksem, M. A. S., Ebstein, R. B., Huettel, S. A., … Yoon, C. (2014). Advancing consumer neuroscience. Marketing Letters, 25(3), 257-267. doi:10.1007/s11002-014-9306-1Solnais, C., Andreu-Perez, J., Sánchez-Fernández, J., & Andréu-Abela, J. (2013). The contribution of neuroscience to consumer research: A conceptual framework and empirical review. Journal of Economic Psychology, 36, 68-81. doi:10.1016/j.joep.2013.02.011Song, L., Singh, J., & Singer, M. (1994). The Youth Self-Report inventory: A study of its measurements fidelity. Psychological Assessment, 6(3), 236-245. doi:10.1037/1040-3590.6.3.236Stanton, S. J., Sinnott-Armstrong, W., & Huettel, S. A. (2016). Neuromarketing: Ethical Implications of its Use and Potential Misuse. Journal of Business Ethics, 144(4), 799-811. doi:10.1007/s10551-016-3059-0Steinhauser, J., Janssen, M., & Hamm, U. (2019). Consumers’ purchase decisions for products with nutrition and health claims: What role do product category and gaze duration on claims play? Appetite, 141, 104337. doi:10.1016/j.appet.2019.104337Sturgess, J., Rodger, S., & Ozanne, A. (2002). A Review of the Use of Self-Report Assessment with Young Children. British Journal of Occupational Therapy, 65(3), 108-116. doi:10.1177/030802260206500302Tanaka, J., Weiskopf, D., & Williams, P. (2001). The role of color in high-level vision. Trends in Cognitive Sciences, 5(5), 211-215. doi:10.1016/s1364-6613(00)01626-0Van der Laan, L. N., Hooge, I. T. C., de Ridder, D. T. D., Viergever, M. A., & Smeets, P. A. M. (2015). Do you like what you see? The role of first fixation and total fixation duration in consumer choice. Food Quality and Preference, 39, 46-55. doi:10.1016/j.foodqual.2014.06.015Wang, Y. J., & Minor, M. S. (2008). Validity, reliability, and applicability of psychophysiological techniques in marketing research. Psychology and Marketing, 25(2), 197-232. doi:10.1002/mar.20206Wedel, M., & Pieters, R. (2006). Eye Tracking for Visual Marketing. Foundations and Trends® in Marketing, 1(4), 231-320. doi:10.1561/1700000011Yaramothu, C., Santos, E. M., & Alvarez, T. L. (2018). Effects of visual distractors on vergence eye movements. Journal of Vision, 18(6), 2. doi:10.1167/18.6.

    Neuromarketing Applied to Educational Toy Packaging

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    [EN] This research work comes in response to the question of which aspects are more relevant for consumers when purchasing educational toys as opposed to other toys that are focused solely on leisure. This empirical research focuses on an educational toy distributed in Spain by the Educa brand (Conector family, reference "I learn English"), which is the product best-selling product of its brand in this area, and analyses how consumers make decisions concerning this product in relation to other products designed by competitors. The research looks into customer reactions while looking at these products, measuring brain activity generated by different aspects of product design and its influence on choice. The aim of the present study was to propose a model that optimizes the design of educational toy packaging. Through the use of neuromarketing techniques -attention through eye tracking, and emotion using galvanic skin response- as well as qualitative research techniques, the objective of this research is to determine the motivations in the processes of buying educational toys. The packaging design elements analyzed are brand, product family, toy name, recommended age, game image, number of questions/topics, and additional texts. The results suggest that the most important elements are the graphic details of the packaging, obtaining a perception of a higher educational level as more questions are addressed by the game. The simultaneous combination of qualitative techniques monitored with galvanic skin response (neuro-qualitative study) allows additional conclusions to be aligned with the end user of the product, including a prominent social component when the product is purchased as a gift for a third party.Juárez Varón, D.; Tur-Viñes, V.; Mengual Recuerda, A. (2020). Neuromarketing Applied to Educational Toy Packaging. Frontiers in Psychology. 11:1-11. https://doi.org/10.3389/fpsyg.2020.02077S11111Alhamdi, F. M. (2020). Role of packaging in consumer buying behavior. Management Science Letters, 1191-1196. doi:10.5267/j.msl.2019.11.040Azad, N., Bandad, S., & Hozouri, S. (2014). Investigating the effect of packaging design on persuading consumers. Uncertain Supply Chain Management, 2(2), 105-110. doi:10.5267/j.uscm.2013.12.003Basso, F., Bouillé, J., Le Goff, K., Robert-Demontrond, P., & Oullier, O. (2016). Assessing the Role of Shape and Label in the Misleading Packaging of Food Imitating Products: From Empirical Evidence to Policy Recommendation. Frontiers in Psychology, 7. doi:10.3389/fpsyg.2016.00450Baudisch, P., DeCarlo, D., Duchowski, A. T., & Geisler, W. S. (2003). Focusing on the essential. Communications of the ACM, 46(3), 60-66. doi:10.1145/636772.636799Bloch, P. H. (1995). Seeking the Ideal Form: Product Design and Consumer Response. Journal of Marketing, 59(3), 16-29. doi:10.1177/002224299505900302Bornstein, R. F., & D’Agostino, P. R. (1992). Stimulus recognition and the mere exposure effect. Journal of Personality and Social Psychology, 63(4), 545-552. doi:10.1037/0022-3514.63.4.545Butler, M. J. R. (2008). Neuromarketing and the perception of knowledge. Journal of Consumer Behaviour, 7(4-5), 415-419. doi:10.1002/cb.260Calvert, G. A., & Brammer, M. J. (2012). Predicting Consumer Behavior: Using Novel Mind-Reading Approaches. IEEE Pulse, 3(3), 38-41. doi:10.1109/mpul.2012.2189167Crone, E. A., & Richard Ridderinkhof, K. (2011). The developing brain: From theory to neuroimaging and back. Developmental Cognitive Neuroscience, 1(2), 101-109. doi:10.1016/j.dcn.2010.12.001Dörnyei, K. R. (2020). Limited edition packaging: objectives, implementations and related marketing mix decisions of a scarcity product tactic. Journal of Consumer Marketing, 37(6), 617-627. doi:10.1108/jcm-03-2019-3105Duchowski, A. T. (2017). Eye Tracking Methodology. doi:10.1007/978-3-319-57883-5Enax, L., Weber, B., Ahlers, M., Kaiser, U., Diethelm, K., Holtkamp, D., … Kersting, M. (2015). Food packaging cues influence taste perception and increase effort provision for a recommended snack product in children. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.00882Fugate, D. L. (2008). Marketing services more effectively with neuromarketing research: a look into the future. Journal of Services Marketing, 22(2), 170-173. doi:10.1108/08876040810862903Garcia, J. R., & Saad, G. (2008). Evolutionary neuromarketing: darwinizing the neuroimaging paradigm for consumer behavior. Journal of Consumer Behaviour, 7(4-5), 397-414. doi:10.1002/cb.259Goodrich, K. (2011). Anarchy of effects? Exploring attention to online advertising and multiple outcomes. Psychology & Marketing, 28(4), 417-440. doi:10.1002/mar.20371Ait Hammou, K., Galib, M. H., & Melloul, J. (2013). The Contributions of Neuromarketing in Marketing Research. Journal of Management Research, 5(4), 20. doi:10.5296/jmr.v5i4.4023Karmarkar, U. R., & Plassmann, H. (2017). Consumer Neuroscience: Past, Present, and Future. Organizational Research Methods, 22(1), 174-195. doi:10.1177/1094428117730598Krishna, A., Cian, L., & Aydınoğlu, N. Z. (2017). Sensory Aspects of Package Design. Journal of Retailing, 93(1), 43-54. doi:10.1016/j.jretai.2016.12.002Lawrence, K., Campbell, R., & Skuse, D. (2015). Age, gender, and puberty influence the development of facial emotion recognition. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.00761Lăzăroiu, G., Pera, A., Ștefănescu-Mihăilă, R. O., Mircică, N., & Negurită, O. (2017). Can Neuroscience Assist Us in Constructing Better Patterns of Economic Decision-Making? Frontiers in Behavioral Neuroscience, 11. doi:10.3389/fnbeh.2017.00188Madan, C. R. (2010). Neuromarketing: the next step in market research? Eureka, 1(1), 34-42. doi:10.29173/eureka7786Martínez Selva, J. M., Sánchez Navarro, J. P., Bechara, A., & Román Lapuente, F. (2006). Mecanismos cerebrales de la toma de decisiones. Revista de Neurología, 42(07), 411. doi:10.33588/rn.4207.2006161Martínez-Ruiz, M. P., Gómez-Suárez, M., Jiménez-Zarco, A. I., & Izquierdo-Yusta, A. (2017). Editorial: From Consumer Experience to Affective Loyalty: Challenges and Prospects in the Psychology of Consumer Behavior 3.0. Frontiers in Psychology, 8. doi:10.3389/fpsyg.2017.02224Morin, A. J. S., Scalas, L. F., Vispoel, W., Marsh, H. W., & Wen, Z. (2016). The Music Self-Perception Inventory: Development of a short form. Psychology of Music, 44(5), 915-934. doi:10.1177/0305735615592690Morin, C. (2011). Neuromarketing: The New Science of Consumer Behavior. Society, 48(2), 131-135. doi:10.1007/s12115-010-9408-1Nancarrow, C., Tiu Wright, L., & Brace, I. (1998). Gaining competitive advantage from packaging and labelling in marketing communications. British Food Journal, 100(2), 110-118. doi:10.1108/00070709810204101Orth, U. R., Campana, D., & Malkewitz, K. (2010). Formation of Consumer Price Expectation Based on Package Design: Attractive and Quality Routes. Journal of Marketing Theory and Practice, 18(1), 23-40. doi:10.2753/mtp1069-6679180102Pieters, R., Warlop, L., & Wedel, M. (2002). Breaking Through the Clutter: Benefits of Advertisement Originality and Familiarity for Brand Attention and Memory. Management Science, 48(6), 765-781. doi:10.1287/mnsc.48.6.765.192Reimann, M., Schilke, O., Weber, B., Neuhaus, C., & Zaichkowsky, J. (2011). Functional magnetic resonance imaging in consumer research: A review and application. Psychology & Marketing, 28(6), 608-637. doi:10.1002/mar.20403Salem, M. Z. (2018). Effects of perfume packaging on Basque female consumers purchase decision in Spain. Management Decision, 56(8), 1748-1768. doi:10.1108/md-04-2017-0363Starks, K. (2014). Cognitive behavioral game design: a unified model for designing serious games. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.00028Tur-Viñes, V., Ramos-Soler, I., & Costa Ferrer, M. (2014). Comunicación silenciosa: estudio comparativo internacional de envases de juguetes. Questiones publicitarias, (19), 35-50. doi:10.5565/rev/qp.24Underwood, R. L., & Ozanne, J. L. (1998). Is your package an effective communicator? A normative framework for increasing the communicative competence of packaging. Journal of Marketing Communications, 4(4), 207-220. doi:10.1080/135272698345762Vecchiato, R., & Roveda, C. (2010). Strategic foresight in corporate organizations: Handling the effect and response uncertainty of technology and social drivers of change. Technological Forecasting and Social Change, 77(9), 1527-1539. doi:10.1016/j.techfore.2009.12.003Zhang, X., Yuan, S.-M., Chen, M.-D., & Liu, X. (2018). A Complete System for Analysis of Video Lecture Based on Eye Tracking. IEEE Access, 6, 49056-49066. doi:10.1109/access.2018.286575

    Collective writing: An inquiry into praxis

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    This is the second text in the series collectively written by members of the Editors' Collective, which comprises a series of individual and collaborative reflections upon the experience of contributing to the previous and first text written by the Editors' Collective: 'Towards a Philosophy of Academic Publishing.' In the article, contributors reflect upon their experience of collective writing and summarize the main themes and challenges. They show that the act of collective writing disturbs the existing systems of academic knowledge creation, and link these disturbances to the age of the digital reason. They conclude that the collaborative and collective action is a thing of learning-by-doing, and that collective writing seems to offer a possible way forward from the co-opting of academic activities by economics. Through detaching knowledge creation from economy, collaborative and collective writing address the problem of forming new collective intelligences

    Between the blabbering noise of individuals or the silent dialogue of many: a collective response to ‵Postdigital Science and Education′ (Jandrić et al. 2018)

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    This article is a multi-authored response to an editorial ‵Postdigital Science and Education′ published in 2018 by Petar Jandrić, Jeremy Knox, Tina Besley, Thomas Ryberg, Juha Suoranta and Sarah Hayes in Educational Philosophy and Theory as a mission statement for the journal Postdigital Science and Education. Nineteen authors were invited to produce their sections, followed by two author-reviewers who examined the article as a whole. Authors’ responses signal the sense of urgency for developing the concept of the postdigital and caution about attempts at simplifying complex relationships between human beings and technology. Whilst the digital indeed seems to become invisible, we simultaneously need to beware of its apparent absence and to avoid overemphasizing its effects. In this attempt, authors offer a wide range of signposts for future research such as ‘the critical postdigital’ and ‘postdigital reflexivity’; they also warn about the group’s own shortcomings such as the lack of ‘real’sense of collectivity. They emphasize that postdigital education must remain a common good, discuss its various negative aspects such as smartphone addiction and nomophobia, and exhibit some positive examples of postdigital educational praxis. They discuss various aspects of postdigital identities and point towards the need for a postdigital identity theory. With these varied and nuanced responses, the article opens a wide spectrum of opportunity for the development of postdigital approaches to science and education for the future

    Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector

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    The objectives of this paper, and the novelty brought to the topic of the Industry 4.0 manufacturing systems, are related to the integration of computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Slovak automotive sector. We conducted a thorough examination of Industry 4.0-based value and supply chains, clarifying how cyber-physical production systems operate in relation to collision avoidance technologies, environment mapping algorithms, and mobility simulation tools in network connectivity systems through vehicle navigation data. The Citroen C3 and Peugeot 208 automobiles are two examples of high-tech products whose worldwide value and supply chain development trends were examined in this study by determining countries and their contributions to production. The fundamental components of the research—statistical analysis and visual analysis—were utilized in conjunction with a variety of syntheses, comparisons, and analytical methodologies. A case study was developed using PSA Group SVK data. The graphical analysis revealed that Slovakia offers the second-highest added value to the chosen items, but it also highlighted the country’s slow-growing research and development (R&D) infrastructure, which could lead to a subsequent loss of investment and business as usual. Slovakia can generate better export added value by optimizing Industry 4.0-based manufacturing systems in the automotive sector
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