1,720,961 research outputs found
Role of mobile food-ordering applications in developing restaurants' brand satisfaction and loyalty in the pandemic period
Full text linkRetailers and their supply-chain partners should reconsider their competitive advantages in today's technologyenhanced environment and search for opportunities to collaborate. Mobile applications have emerged as a special form of e-commerce that provide convenience for consumers by saving time and effort. In the pandemic days, people prefer using mobile applications in particular to order food from restaurants and protect themselves from COVID-19. Even though there are many previous studies regarding mobile application usage, they have investigated the antecedents of mobile app adoption. Today, consumers already have adopted them, yet there is a need to understand the outcomes of mobile application usage, especially for mobile food-ordering apps (MFOAs). To fill this gap, this study first positions the MFOAs among other mobile food applications regarding their business models. Then, a structural model was developed and tested by focusing on the outcomes of MFOA usage. A survey of 217 participants was conducted, and the data were analyzed using partial least squares path modeling (PLS-PM). The main contribution of the results is the finding that MFOA satisfaction plays a critical role in developing restaurants' brand satisfaction and loyalty. Thus, brands should cooperate with MFOA providers
Examination of trust and sustainability concerns in autonomous vehicle adoption
Full text linkThe latest developments regarding autonomous vehicles (AVs) have drawn the attention of tech-savvy individuals and marketers. AVs are expected to cause a major change in the markets of vehicle selling, transportation and logistics. Therefore, it is crucial to understand consumer acceptance so that the companies in these markets can develop their penetration strategies accordingly and technology companies can shape their technology development strategies. This study aims to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns. This was achieved by expanding the technology acceptance model (TAM). A survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM). The results confirmed previous technology acceptance models by showing the relationships between perceived usefulness, perceived ease of use, and behavioral intention. Moreover, the direct and indirect effects of trust on behavioral intention were also shown. This study provides evidence to extend the TAM to the adoption of AVs by uncovering individuals' sustainability concerns
Measuring brand image using a cognitive approach: Representing brands as a network in the Turkish airline industry
No full textThis study extends the previous brand image measurement processes by using a mixed (qualitative and quantitative) methodology, drawing upon a cognitive approach to represent consumers' minds as a network. Therefore, three consecutive studies have been designed from a sample of 1000 passengers to construct four distinct concept maps and a common one pertaining to four Turkish airline companies. The results show the importance of increasing flight comfort, training cabin crew, providing free appetizers, improving service quality, and ensuring timely departures in creating and sustaining a positive brand image. Academicians could use this methodology as an alternative technique to the traditional ones and practitioners could use it to evaluate brands' competitive advantages to create powerful brand images in consumers' minds
Exploring local vs global brand associations in an emerging market using BCM technique
No full textPurpose - The purpose of this paper is to differentiate local versus global brand associations in an emerging market (Turkey)'s coffee shop market. Design/methodology/approach - Two leading coffee shop brands - one local and one global - were analyzed with an emerging exploratory research technique - brand concept mapping (BCM) - to reveal their strong, favorable and unique associations leading them to market leadership. Findings - The results indicate that, these two successful brands both have distinctive, yet relevant positions in their consumers' mind. Local cultural experience is relevant for differentiating local brands, even if the coffee shop concept is globally imported. Global coffee shop brand, on the other hand, means membership to global middle income segment and is remembered as global fast coffee service. Research limitations/implications - The main limitation of this exploratory study is the sample size limitation by its nature. So, the generalizability of the results should be approached with caution. Researchers use BCM technique; however, this method does not permit to reveal the expected levels and the importance of the attributes. Thus, further research are suggested to be complementary. Originality/value - This study fills the research gap in revealing and comparing local vs global brand associations by using BCM technique, which enables one to measure the strength, unique and favorable associations/brand images more suitable to Keller's (1993) conceptualization. This study pioneers in using this technique in international branding
Profiling online consumers according to their experiences with a special focus on social dimension
No full textStrategic marketing management is basically based on segmentation, targeting and positioning. To develop marketing strategies, professionals and academicians increasingly consider customer experiences in recent years. This paper is focused on the segmentation part of marketing strategies combining it with customer experiences. The main objective of this paper is to introduce social experiences beside other experiences to consumer segmentation according to their experiential appeals in order to reveal new consumer profiles. In this way, marketing strategies can be developed on new consumer segments, since previous studies have not considered sensory, affective, creative cognitive, physical and social experiences all together for segmentation. For this purpose, online environment is used because of its expanding social-aimed use. A descriptive research is conducted with 320 participants in Istanbul. The research findings on online brands indicate new customer segments in addition to the existing ones. These segments are named as individual hedonists, highly socials, holistic consumers, action-oriented consumers, knowledge seekers, sense-directed consumers and social utilitarian consumers. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility 7th International Strategic Management Conferenc
DETERMINING SERVICE QUALITY DIMENSIONS OF SOCIAL COMMERCE WEBSITES
No full textSince the last decades of the past century, social media and Web 2.0 created radical changes in consumer behavior and business models used. Especially with increasing usage of social media tools among both customers and firms during the past few years, the nature of electronic commerce has changed to make sure that customers are more active and participatory in the process. Hence, a subset of electronic commerce, named as social commerce, occurred as a more social, collaborative, relational, and creative form. The most important point where social commerce differentiates from electronic commerce is its ability to facilitate social networking and information sharing among individuals through tools such as comments, assessments and valuations, in a way similar to social media channels. These differences highlight the necessity of adding new dimensions to the present electronic service quality dimensions and the manifestation of the extents of social commerce service quality. Therefore, the aim of this paper is to specify the service quality dimensions of social commerce platforms. (C) 2017 Published by Future Academy www.FutureAcademy.org.u
A conceptual framework for the mediating role of the flow experience between destination brand experience and destination loyalty
No full textThe global tourism economy has created a competitive industry, and the customer experience in destination branding has emerged as a competitive tool for practitioners. It has also been attracting attention in the tourism literature. Individuals who experience high degrees of flow tend to feel more engaged in activities during their travel experiences. However, the antecedents of the flow experience and its outcomes are still limited in the literature. Considering the gaps in the literature, this study is aimed at developing a conceptual model for the mediating effect of the flow experience on the relationship between destination brand experience and destination loyalty by reviewing the extant literature. Accordingly, it has been conceptualized that the relationship between destination brand experience and the outcomes, such as satisfaction and loyalty is mediated by the destination perceived flow
Using PLS-SEM and XAI for causal-predictive services marketing research
Full text linkPurpose: This study aims to redefine approaches to metrics in service marketing by examining the utility of partial least squares – structural equation modeling (PLS-SEM) and eXplainable Artificial Intelligence (XAI) for assessing service quality, with a focus on the airline industry. Design/methodology/approach: Using the Airline Passenger Satisfaction data set from Kaggle platform, this study applies PLS-SEM, facilitated by ADANCO software and XAI techniques, specifically using the SHapley Additive exPlanations TreeExplainer model. This study tests several hypotheses to validate the effectiveness of these methodological tools in identifying key determinants of service quality. Findings: PLS-SEM analysis categorizes key variables into Delay, Airport Service and In-flight Service, whereas XAI techniques rank these variables based on their impact on service quality. This dual-framework provides businesses a detailed analytical approach customized to specific research needs. Research limitations/implications: This study is constrained by the use of a single data set focused on the airline industry, which may limit generalizability. Future research should apply these methodologies across various sectors to enhance a broader applicability. Practical implications: The analytical framework offered here equips businesses with the robust tools for a more rigorous and nuanced evaluation of service quality metrics, supporting informed strategic decision-making. Social implications: By applying advanced analytics to refine service metrics, businesses can better meet and exceed customer expectations, ultimately elevating the societal standard of service delivery. Originality/value: This study contributes to the ongoing discourse on artificial intelligence interpretability in business analytics, presenting an innovative methodological guide for applying PLS-SEM and/or XAI in service marketing research. This approach delivers actionable insights, not only in the airline sector but also across diverse business domains seeking to optimize service quality.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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