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1 – 10 of 139Santo Raneri, Fabian Lecron, Julie Hermans and François Fouss
Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting…
Abstract
Purpose
Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition, extant models from the product design literature, while technically promising, fail to propose methods suitable for opportunity development with high level of uncertainty. This study develops and tests a predictive model that provides entrepreneurs with a digital infrastructure for automated testing. Such an approach aims at harnessing AI-based predictive technologies while keeping the ability to respond to the unexpected.
Design/methodology/approach
Based on effectuation theory, this study identifies an AI-based, predictive phase in the “build-measure-learn” loop of Lean startup. The predictive component, based on recommendation algorithm techniques, is integrated into a framework that considers both prediction (causal) and controlled (effectual) logics of action. The performance of the so-called active learning build-measure-predict-learn algorithm is evaluated on a data set collected from a case study.
Findings
The results show that the algorithm can predict the desirability level of newly implemented product design decisions (PDDs) in the context of a digital product. The main advantages, in addition to the prediction performance, are the ability to detect cases where predictions are likely to be less precise and an easy-to-assess indicator for product design desirability. The model is found to deal with uncertainty in a threefold way: epistemological expansion through accelerated data gathering, ontological reduction of uncertainty by revealing prior “unknown unknowns” and methodological scaffolding, as the framework accommodates both predictive (causal) and controlled (effectual) practices.
Originality/value
Research about using AI in entrepreneurship is still in a nascent stage. This paper can serve as a starting point for new research on predictive techniques and AI-based infrastructures aiming to support digital entrepreneurs in their day-to-day operations. This work can also encourage theoretical developments, building on effectuation and causation, to better understand Lean startup practices, especially when supported by digital infrastructures accelerating the entrepreneurial process.
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Veronica Vitali, Claudia Bazzani, Annamaria Gimigliano, Marco Cristani, Diego Begalli and Gloria Menegaz
This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior…
Abstract
Purpose
This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.
Design/methodology/approach
The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.
Findings
The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.
Originality/value
The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.
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Henrietta Jylhä and Juho Hamari
Customization by segmenting within human–computer interaction is an emerging phenomenon. Appealing graphical elements that cater to user needs are considered progressively…
Abstract
Purpose
Customization by segmenting within human–computer interaction is an emerging phenomenon. Appealing graphical elements that cater to user needs are considered progressively important, as the way a graphic is visually represented can greatly contribute to the interaction. However, aesthetic perceptions are subjective and may differ by target group. Understanding variations in user perceptions may aid in design processes; therefore, we set out to investigate the effects of demographic differences relating to perceptions of graphical user interface (GUI) element (i.e. game app icon) aesthetics.
Design/methodology/approach
The authors employed a vignette experiment with random participant (n = 513) assignment to evaluate 4 icons from a total of 68 pre-selected mobile game icons using semantic differential scales. This resulted in a total of 2052 individual icon evaluations. Regression analyses were performed with the effects of age, gender and time using graphical user interfaces (i.e. app stores) and the interactions of these variables relating to perceptions of GUI element aesthetics.
Findings
The results indicate that, overall, demographic factors have relatively little effect on how icons are perceived. Significant relations suggest that experienced users, younger audiences and women are more critical in their perception of aesthetic excellence, and that perceptions change for younger women. The implications of the findings are discussed via adaptive decision-making theory.
Originality/value
In the context of graphical user interface element aesthetics, demographic differences have received minimal attention as moderating variables regardless of their relevance in design and development. Hence, it merits further research.
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This study investigates consumer purchase behavior during the steady devaluation of currency, which led to increase in inflation rates in Egypt.
Abstract
Purpose
This study investigates consumer purchase behavior during the steady devaluation of currency, which led to increase in inflation rates in Egypt.
Design/methodology/approach
This study collected and analyzed numerical data to test the causal relationships found among the research model variables. Administrated questionnaires were distributed March 2023 in cross-sectional timeframe in several visits to hypermarkets, supermarkets and grocery stores in Cairo and Alexandria, applying nonprobability sample. Structure equation model path analysis was used to test the hypotheses.
Findings
This study shows compulsive buying, sense of anxiety, value shopping, attitude toward private label, attractiveness of local brands and materialistic behaviors impact consumers' acceptance of alternative brands; compulsive buying, sense of anxiety and materialistic behaviors impact the continuance of purchasing accustomed brands.
Practical implications
Retailers, government and policymakers can use this study as a guide to know how consumers react during times of high prices so to provide solutions to their needs. Policymakers should take into account the findings in managing the economy.
Originality/value
This study shows the effect of inflation on consumer spending to contribute to the body of knowledge in literature on the factors that influence consumer behaviors. A model was developed to frame the possible manners that might surface among consumers during times of high inflation; it reflected whether compulsive buying, sense of anxiety, value shopping, attitude toward private label, attractiveness of local brands and materialistic behaviors impact consumers acceptance of alternative brands and/or the continuance of purchasing accustomed brand.
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Anna Rita Irimiás and Serena Volo
The aim of the study is threefold: understanding the interconnections amongst visual and verbal multimodal communication strategies used in food discourse; identifying the themes…
Abstract
Purpose
The aim of the study is threefold: understanding the interconnections amongst visual and verbal multimodal communication strategies used in food discourse; identifying the themes of celebrity chef's food discourse with respect to pro-environmental behaviour; and providing a methodological framework to visually analyse food-themed videos.
Design/methodology/approach
This study uses mise-en-scène and critical discourse and multimodal analyses to gain insights on food discourse from 20 videos shared by a Michelin starred chef on social media platforms.
Findings
Results show that a pro-environmental cooking philosophy challenges the normative discourse on food and educates general audiences and foodies alike. Mise-en-scène and discourse analyses of Instagram visual content reveal that leftovers are central to the ethical message and are intertwined – through the aesthetic of the videos-with concepts of inclusivity, diversity and nourishment.
Practical implications
Chefs, and restaurants, are encouraged to recognise their responsibility as role models, thus able to influence the societal production of food discourse.
Originality/value
The findings provide new insights into the role of a celebrity chef in promoting sustainable food preparation and consumption.
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Andreas Alexiou, Michaéla C. Schippers, Ilan Oshri and Spyros Angelopoulos
This study uses a critically acclaimed digital game as an instructional tool to explore the role of emotional design elements on psychological flow and perceived learning.
Abstract
Purpose
This study uses a critically acclaimed digital game as an instructional tool to explore the role of emotional design elements on psychological flow and perceived learning.
Design/methodology/approach
The authors employ transportation theory to generate a set of antecedents of psychological flow and the theory of flow to connect the gaming experience to positive learning outcomes. The authors investigate the subjective learning experience of players with the use of a psychometric survey, and the authors employ structural equation modelling (SEM) to unearth the direct as well as the indirect effects amongst narrative, aesthetics, flow and learning outcomes.
Findings
The findings of this study demonstrate that narrative and aesthetics in serious games positively influence the perceived learning by facilitating a state of psychological flow.
Research limitations/implications
This study contributes to better understanding and theorizing the role of narrative and aesthetics on learning outcomes in the context of serious games.
Practical implications
The findings of this study bear valuable implications for the design of serious games as they highlight the importance of elements often disregarded as not directly related to the learning process and are typically absent from the design of serious games.
Originality/value
Prior studies have identified aesthetics and narratives as design elements that contribute to the perceived enjoyment of a game; this study empirically investigates the role of narratives and aesthetics in enhancing perceived learning through psychological flow.
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The subject of this paper is the phenomenon of social media aesthetics, which can be perceived as a tool for promoting and building the image of libraries, especially in terms of…
Abstract
Purpose
The subject of this paper is the phenomenon of social media aesthetics, which can be perceived as a tool for promoting and building the image of libraries, especially in terms of merchandising. The aim of this paper is to analyse the potential of the dark academia social media trend in the promotion of academic libraries.
Design/methodology/approach
The article is based on a review of the social networking sites YouTube and Instagram and an analysis of network resources using the Brand24 tool.
Findings
Resources that are described by Internet users as “dark academia” are popular in social media. Dark academia as an aesthetic concept creates potential for the promotion of academic libraries, especially those that are more traditional in terms of their architecture, décor or how they offer their services.
Research limitations/implications
The paper concerns a phenomenon which, although popular socially, has not yet been scientifically analysed in the literature on the subject. Since the topic is new and there is no scientific literature on it, the author had to base the paper on less standard sources of information (e.g. analysis of the content of social media). The article is a review, an introduction, as well as an invitation to further discussion. The author's aim is not to comprehensively cover this topic but only to draw attention to an interesting and rarely discussed issue that has great potential for practical activities.
Practical implications
The topic has great potential for the practical improvement of the promotional activities of libraries, especially older, more traditional libraries, to create a strong and positive image on the basis of characteristics often perceived as weaknesses.
Social implications
Social media services are powerful social impact tools. Showing the potential role of social media aesthetics for cultural institutions could serve to make the public more aware of the role of the proper use of social media for promotion and image building.
Originality/value
The use of social media aesthetics is very rarely discussed in the subject literature.
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Gino Cattani, Simone Ferriani, Frédéric Godart and Stoyan V. Sgourev
Muhammad Sabbir Rahman, Md Afnan Hossain, Md Rifayat Islam Rushan, Mohammad Tayeenul Hoque and Hasliza Hassan
This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR).
Abstract
Purpose
This study aims to develop and validate a scale for measuring online fashion brand recognition (OFBR).
Design/methodology/approach
Given the existing literature on brand, multiple stages of studies were conducted as a part of the scale development process. The OFBR scale was validated by a step-by-step process following the scale validation methodology suggested in the specialised literature.
Findings
The results demonstrate the 25 items of five unique factors that form the OFBR construct and confirm the strong validity of the construct. This finding suggests that the five-dimensional approach (online brand familiarity, online visual simplicity, online aesthetic attraction, online brand emotion and online social reputation) plays important role to form OFBR.
Practical implications
A valid and reliable OFBR scale provides a foundation for broadening the understanding on the important constructs that form OFBR, which is essential for online fashion retailing. Knowledge of the crucial antecedents that influence consumers towards online fashion products can enhance marketers’ capability to position their brands towards their target markets.
Originality/value
The relevance of this study lies in validating the scale for measuring OFBR for the first time in the literature on online fashion brand.
Propósito
Este estudio tiene como objetivo desarrollar y validar una escala para medir el reconocimiento de marcas de moda online (OFBR).
Metodología
Partiendo de la literatura de marca, se llevaron a cabo múltiples estudios como parte del proceso de desarrollo de la escala. La escala OFBR fue validada en un proceso de diversas etapas siguiendo la metodología de validación de escalas sugerida en la literatura especializada.
Hallazgos
Los resultados demuestran los veinticinco ítems de cinco factores únicos que forman el constructo OFBR y confirman la validez del constructo. Este hallazgo sugiere que el enfoque de cinco dimensiones (familiaridad con la marca online, simplicidad visual online, atracción estética online, emoción de la marca online y reputación social online) juega un papel importante en la formación de la OFBR.
Implicaciones prácticas
Una escala OFBR válida y fiable proporciona una base para ampliar la comprensión de los constructos importantes que forman OFBR, lo cual es esencial para la venta de moda online. Conocer los antecedentes que condicionan al consumidor al comprar productos de moda online puede mejorar la capacidad del vendedor para posicionar su marca en el mercado objetivo.
Originalidad/valor
El interés de este estudio radica en la validación de la escala para medir la OFBR por primera vez en la literatura sobre la marca de moda online.
Tipo de trabajo
Artículo de investigación
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Renata Salerno-Kochan and Paweł Turek
The aim of the study reported in this article was to establish whether the quality of clothes of a given brand is perceived and assessed by consumers at the same level. An…
Abstract
Purpose
The aim of the study reported in this article was to establish whether the quality of clothes of a given brand is perceived and assessed by consumers at the same level. An additional purpose was to identify the features that characterize the quality of popular, among Polish young female consumers, clothing brands and to classify them according to their quality level (perceived and assessed).
Design/methodology/approach
The article presents two approaches to consumer assessment of the quality of clothes: the survey method, in which the product quality was determined by 320 Polish female young respondents (19–25) based on their own previous experiences and impressions related to a particular clothing brand, and a direct assessment of shirts of selected brands using a sensory quality assessment method, a five-point hedonic scale with the verbal anchor (115 evaluators).
Findings
The research has revealed a significant difference between the perception of selected quality features of brands and the consumer assessment of the products. The perception maps developed based on the PROFIT analysis (PROperty FITting) as well as on cluster analysis provided interesting information about the situation of selected brands and their features in comparison with others and allowed to identify strong and weak features characterizing a given category.
Research limitations/implications
This study has several limitations. First and foremost, the research results cannot be generalized to all consumers because they encompass the results from one national context and one population of respondents (young females). It should also be noted that the conducted research comprises only the most popular clothing brands available on the Polish market, in particular, the fast fashion segment brands. Furthermore, it would be advisable to carry out a sensory assessment of the quality of other clothing items offered under the brand names investigated.
Practical implications
This research could be a valuable source of information for clothing company managers, thanks to which they could better manage their brand and its position on the market. When undertaking marketing activities consisting of building positive perceptions about the product, it is important to make sure that the product offers an attractive sensory experience. When real quality deviates from consumer perceptions about the quality, managers should take corrective actions to restore and even improve the brand image in the eyes of the consumer, as well as to ensure the brand and the products offered under it a stable position on the market.
Originality/value
By comparing two approaches to consumer quality assessment, discrepancies between declared and real (sensory) quality of clothes have been identified and the distinctive features that differentiate selected brands regarding their quality level have been indicated.
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