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1 – 10 of 32Khai Trieu Tran, Anh Tran Tram Truong, Van-Anh T. Truong and Tuan Trong Luu
This study aims to answer the following questions: How do consumers’ perceptions of brand coolness affect brand relationship outcomes and how do brand coolness effects differ…
Abstract
Purpose
This study aims to answer the following questions: How do consumers’ perceptions of brand coolness affect brand relationship outcomes and how do brand coolness effects differ between product brands and service brands?
Design/methodology/approach
A quantitative survey was used to collect data from 1,500 consumers assigned to assess one of 20 popular product and service brands in Vietnam. Partial least square structural equation modeling was used to analyze the data.
Findings
Data analysis reveals that both dimensions of brand coolness (i.e. self-oriented and other-oriented coolness) exert positive impacts on brand relationship outcomes (i.e. brand satisfaction, brand love and brand advocacy) through brand attitude (i.e. the evaluative mechanism) and self-brand connection (i.e. the identity mechanism). While the identity mechanism of brand coolness effects is more prominent in product brands, the evaluative mechanism is more pronounced for service brands.
Practical implications
This research provides practical guidance for brand managers to build strong customer relationships by leveraging their brand coolness and the mechanisms underlying coolness effects. This study suggests a tailored application of brand coolness dimensions to different branded entities.
Originality/value
This research contributes to the brand coolness literature by validating a two-dimensional brand coolness structure encompassing self-oriented and other-oriented coolness, in accordance with a value-based conceptualization of the concept. For mass brand studies, this study recommends the exclusion of rebellious and subcultural attributes, as well as the utility of pre-determined brands as evaluated objects, in measuring brand coolness. This study also illuminates dual mediation mechanisms and moderation of the branded entity underlying brand coolness effects on consumer–brand relationships.
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Luluo Peng, Yuting Wei, Xiaodan Zhang and Danping Wang
The brand logo, as a fundamental element of marketing communications, serves as a crucial visual representation of a brand. In the current era of mobile Internet, logo flatness…
Abstract
Purpose
The brand logo, as a fundamental element of marketing communications, serves as a crucial visual representation of a brand. In the current era of mobile Internet, logo flatness has become a new trend in practice. However, there remains a scarcity of research that explores the effects of logo flatness on consumer perceptions and brand attitudes.
Design/methodology/approach
Across four studies, using both observational analyses of real brands and experimental manipulations of fictitious brands, the authors examined the impact of logo flatness on consumer perceptions and brand attitudes.
Findings
Results show that logo flatness promotes the perception of modernity due to the simplicity it presents. Consumers will evaluate the brand more positively when their perception of the logo association is congruent with the brand image. Notably, traditional brands using skeuomorphic logos and modern brands employing flat logos can effectively enhance consumers' brand attitudes.
Practical implications
The findings of this study have significant implications for businesses seeking to enhance consumers' brand attitude and foster brand renewal through the strategic selection and design of logos that align with their brand image.
Originality/value
This study provides a theoretical and empirical test of the influence of logo flatness on consumers' perception of brand image, thereby enriching the existing research on brand management.
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Gurkan Caliskan, Burhan Sevim, Cagdas Aydin and Emrah Yasarsoy
The advancement of technology and increased sales of service robots have led to discussions about their usage. Recently, the use of service robots in accommodation businesses has…
Abstract
The advancement of technology and increased sales of service robots have led to discussions about their usage. Recently, the use of service robots in accommodation businesses has become a topic of examination. This study aims to explore the behavioural intentions of accommodation business managers towards using service robots from the perspective of the technology acceptance model. As part of this project-supported study, the ‘Sanbot Elf’ service robot was rented for 14 days and demonstrated in six accommodation businesses in Kastamonu. Semi-structured interviews were conducted with managers and unit supervisors after the demonstration, and the process was also monitored through participant observation. The data were analysed using content analysis and participant observation methods. It was determined that participants' opinions on service robots were generally positive. Participants stated that personalised service presentations could be provided with service robots and that these robots could be used in different departments and marketing processes. The study concluded that service robots could positively impact service quality, are an exciting technology for accommodation businesses and the use of service robots could increase in the future. Participants' attitudes towards using service robots in accommodation businesses were positive in this context.
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Maosheng Yang, Lei Feng, Honghong Zhou, Shih-Chih Chen, Ming K. Lim and Ming-Lang Tseng
This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing…
Abstract
Purpose
This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.
Design/methodology/approach
This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.
Findings
The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.
Originality/value
This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.
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Tejas R. Shah, Pradeep Kautish and Sandeep Walia
This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness…
Abstract
Purpose
This paper aims to establish and empirically investigate a research model examining the effect of four dimensions of the technology readiness index – optimism, innovativeness, discomfort and insecurity – on customer engagement that further influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs).
Design/methodology/approach
Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique.
Findings
Technology readiness dimensions, e.g. optimism, innovativeness, discomfort and insecurity, are critical factors driving customer engagement. Customer engagement further results in purchase intention in online shopping through AI VAs.
Research limitations/implications
This study adds to the literature by understanding how customers’ technology readiness levels drive engagement and purchase intention. However, this study includes customer engagement as a unidimensional construct. Further research can consist of customer engagement as a multidimensional construct.
Practical implications
The findings offer guidelines for e-retailers to enhance customer engagement that matches their personality traits, thereby strengthening their purchase intention through AI VAs.
Originality/value
The research contributes to the literature by empirically investigating a research model, revealing optimism, innovativeness, discomfort and insecurity as crucial parameters for customer engagement and purchase intention.
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Jiayuan Zhao, Hong Huo, Sheng Wei, Chunjia Han, Mu Yang, Brij B. Gupta and Varsha Arya
The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood…
Abstract
Purpose
The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.
Design/methodology/approach
This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.
Findings
The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.
Originality/value
This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.
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Elif Kiran, Yesim Deniz Ozkan-Ozen and Yucel Ozturkoglu
This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production…
Abstract
Purpose
This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.
Design/methodology/approach
The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).
Findings
Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.
Originality/value
This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.
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Poonam Sahoo, Pavan Kumar Saraf and Rashmi Uchil
Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop…
Abstract
Purpose
Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.
Design/methodology/approach
The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.
Findings
The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.
Practical implications
The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.
Originality/value
Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.
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