Khalid Hussain, Asma Afzaal, Maha Khamis Al Balushi and Muhammad Junaid
The intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however…
Abstract
Purpose
The intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however, restaurant brands' efforts to bringing innovativeness may not yield desired results unless customers perceive them innovative. Therefore, the present study aims to investigate the role of customer perceived innovativeness (CPRI) in enhancing brand love and evangelism among customers. This study compares these effects between fast-food and continental restaurants to offer deeper insights.
Design/methodology/approach
Data were collected from 303 customers of fast-food and continental restaurants through self-administered structured questionnaire. The reliability and validity were established through confirmatory factor analysis. The hypotheses were tested using structural equation modeling and multi-group SEM with MPlus.
Findings
The findings of this study reveal that menu, experiential and promotional innovativeness dimensions of CPRI positively influence brand love. The effects of CPRI dimensions transcend to brand evangelism dimensions, i.e. brand purchase intension, positive brand referrals and oppositional brand referrals via brand love. The multi-group analysis showed that continental restaurants' menu innovativeness strongly impacts brand love and evangelism while promotional innovativeness matters more in the context of fast-food restaurants.
Practical implications
This study helps restaurant managers in devising tailor made strategies for fast-food and continental restaurants by focusing on the relevant attributes to bring innovation.
Originality/value
This research is one of the pioneering studies to investigate the relationship of CPRI with brand evangelism through the mediating role of brand love. This study also marks an initial attempt to compare fast-food and continental restaurants in the context of CPRI.
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Anita Zatori and Meghan Beardsley
The tourist experience has matured in its body of literature, but researchers still debate the best way to measure and define the concept. The purpose of this paper is to analyze…
Abstract
The tourist experience has matured in its body of literature, but researchers still debate the best way to measure and define the concept. The purpose of this paper is to analyze and compare memorable and on-site tourist experiences from theoretical, empirical, and methodological perspectives. A review of the literature is used to identify and describe the next evolutionary research step which is the quality-of-life (QOL) aspect of tourism experiences. It is argued that the evolving focus on QOL attributes is fueled by the theories and concepts of service-dominant logic. The paper argues that value (co)created on all sides of the equation (e.g., customer or company) must be considered when carrying out research. The paper also finds that different value outcomes for the individual customer occur in both on-site and memorable experience contexts. The findings contest an earlier theoretical argument, suggesting that memorable tourist experiences provide more value than on-site tourist experience.
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It is possible to see effective use of Artificial Intelligence-based systems in many fields because it easily outperforms traditional solutions or provides solutions for the…
Abstract
It is possible to see effective use of Artificial Intelligence-based systems in many fields because it easily outperforms traditional solutions or provides solutions for the problems not previously solved. Prediction applications are a widely used mechanism in research because they allow for forecasting of future states. Logical inference mechanisms in the field of Artificial Intelligence allow for faster and more accurate and powerful computation. Machine Learning, which is a sub-field of Artificial Intelligence, has been used as a tool for creating effective solutions for prediction problems.
In this chapter the authors will focus on employing Machine Learning techniques for predicting data for future states of economic using techniques which include Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, Dynamic Boltzmann Machine, Support Vector Machine, Hidden Markov Model, Bayesian Learning on Gaussian process model, Autoregressive Integrated Moving Average, Autoregressive Model (Poggi, Muselli, Notton, Cristofari, & Louche, 2003), and K-Nearest Neighbor Algorithm. Findings revealed positive results in terms of predicting economic data.
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Md Moynul Hasan, Yu Chang, Khalid Hussain and Lu Tingyu
Drawing on service-dominant logic and co-creation literature, this study explores how social media marketing activities (SMMAs) in online healthcare communities (OHCs) impact…
Abstract
Purpose
Drawing on service-dominant logic and co-creation literature, this study explores how social media marketing activities (SMMAs) in online healthcare communities (OHCs) impact patients’ electronic word of mouth (E-WOM). Additionally, it aims to understand how patients’ E-WOM contributes to participation in value co-creation (PVCC) during the healthcare journey and influences patient well-being. This study also investigates the mediating role of patients’ E-WOM in bridging the relationship between the dimensions of SMMAs and patient PVCC dimensions.
Design/methodology/approach
Data were collected from 601 healthcare customers through a structured survey. Hypotheses were tested using partial least structural equation modeling (PLS-SEM) with SmartPLS 4.0.
Findings
Results demonstrate that interactivity and trendiness dimensions of SMMAs positively impact patients’ E-WOM communication. Patients’ E-WOM communication enhances their PVCC by influencing information seeking, information sharing, personal interaction and responsible behavior dimensions. Information seeking, personal interaction and responsible behavior in patient-provider interactions during the healthcare journey augment patients’ well-being, such as satisfying patients’ overall healthcare needs, ensuring mental peace and physical comfort and guaranteeing quality of life. Additionally, patients’ E-WOM mediates the relationship between SMMAs dimensions, such as interactivity and trendiness, with each dimension of patient PVCC.
Originality/value
This study extends the service-dominant logic and enriches the literature on healthcare service co-creation. It explores how SMMAs can enhance patient PVCC through E-WOM and improve patient well-being. Additionally, it provides valuable insights for social media marketing managers, healthcare professionals and marketing strategists.
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Introduction: The insurance industry has unprecedented growth, and the demand for insurance has outgrown in the recent past due to the prevailing pandemic. The companies have a…
Abstract
Introduction: The insurance industry has unprecedented growth, and the demand for insurance has outgrown in the recent past due to the prevailing pandemic. The companies have a large base of the data set at their disposal, and companies must appropriately handle these data to come out with valuable solutions. Data mining enables insurance companies to gain an insightful approach to map strategies and gain competitive advantage, thus strengthening the profits that will allow them to identify the effectiveness of back-propagation neural network (BPNN) and support vector machines (SVMs) for the companies considered under study. Data mining techniques are the data-driven extraction techniques of information from large data repositories, thus discovering useful patterns from the voluminous data (Weiss & Indurkya, 1998).
Purpose: The present study is performed to investigate the comparative performance of BPNNs and SVMs for the selected Indian insurance companies.
Methodology: The study is conducted by extracting daily data of Indian insurance companies listed on the CNX 500. The data were then transformed into technical indicators for predictive model building using BPNN and SVMs. The daily data of the selected insurance companies for four years, that is, 1 April 2017 to 21 March 2021, were used for this. The data were further transformed into 90 data sets for different periods by categorising them into biannual, annual, and two-year collective data sets. Additionally, the comparison was made for the models generated with the help of BPNNs and SVMs for the six Indian insurance companies selected under this study.
Findings: The findings of the study exhibited that the predictive performance of the BPNN and SVM models are significantly different from each other for SBI data, General Insurance Corporation of India (GICRE) data, HDFC data, New India Assurance Company Ltd. (NIACL) data, and ICICIPRULI data at a 5% level of significance.
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Ishfaq Hussain Bhat, Shilpi Gupta, Shakir Hussain Parray, Dhiraj Sharma, Faizan Ali and Rais Ahmad Itoo
This study delves into the complex realm of consumer behavior by exploring the impact of distinct shopping motives, encompassing status, value and gratification, on store…
Abstract
Purpose
This study delves into the complex realm of consumer behavior by exploring the impact of distinct shopping motives, encompassing status, value and gratification, on store satisfaction within the domain of organic food retail. Moreover, it seeks to decipher the influence of perceptual disparities between male and female patrons on the intricate nexus between shopping experience and consumer loyalty within organic food stores.
Design/methodology/approach
A comprehensive dataset comprising responses from 400 participants was gathered and subjected to confirmatory analysis and structural equation modeling. These analytical tools were employed to dissect the data, validate the underlying research framework and unveil critical insights.
Findings
The empirical analysis, facilitated by structural equation modeling, substantiates that organic food stores prioritize the organic attribute, primarily centered on healthiness, often to the detriment of broader conceptual and social aspects. This validates the interplay between shopping experience dimensions, customer contentment, loyalty and the intent to revisit. Gender, as a moderator, exerts a discernible influence on these relationships, highlighting distinct shopping behaviors among male and female consumers when gauging the influence of shopping experience dimensions within organic food retail establishments.
Practical implications
The implications of this research resonate deeply within the organic food retail landscape. The insights garnered provide valuable guidance to organic food retailers aiming to enhance their store ambiance and allure, thereby fostering sustained customer satisfaction. This, in turn, augments the propensity for customer loyalty and repeat patronage, a particularly pressing concern in today's fiercely competitive retail milieu. Furthermore, the study carries significant ramifications for organic food producers and governmental entities, outlining a framework for augmenting the value proposition of organic foods in alignment with customer experiential paradigms.
Originality/value
In a milieu characterized by the emergence of novel product categories and industry entrants, the study fills a critical void by investigating customer satisfaction within the broader retail food sector, with specific focus on organic food stores. Moreover, the research embarks on a pioneering exploration of the prospective trajectory of organic food stores in the Indian context, employing a marketing lens and grounded in the theory of needs satisfaction.
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Iskandar Waini, Anuar Ishak and Ioan Pop
This paper aims to investigate the steady flow and heat transfer of a Cu-Al2O3/water hybrid nanofluid over a nonlinear permeable stretching/shrinking surface with radiation…
Abstract
Purpose
This paper aims to investigate the steady flow and heat transfer of a Cu-Al2O3/water hybrid nanofluid over a nonlinear permeable stretching/shrinking surface with radiation effects. The surface velocity condition is assumed to be of the power-law form with an exponent of 1/3. The governing equations of the problem are converted into a system of similarity equations by using a similarity transformation.
Design/methodology/approach
The problem is solved numerically using the boundary value problem solver (bvp4c) in Matlab software. The results of the skin friction coefficient and the local Nusselt number as well as the velocity and temperature profiles are presented through graphs and tables for several values of the parameters. The effects of these parameters on the flow and heat transfer characteristics are examined and discussed.
Findings
Results found that dual solutions exist for a certain range of the stretching/shrinking and suction parameters. The increment of the skin friction coefficient and reduction of the local Nusselt number on the shrinking sheet is observed with the increasing of copper (Cu) nanoparticle volume fractions for the upper branch. The skin friction coefficient and the local Nusselt number increase when suction parameter is increased for the upper branch. Meanwhile, the temperature increases in the presence of the radiation parameter for both branches.
Originality/value
The problem of Cu-Al2O3/water hybrid nanofluid flow and heat transfer over a nonlinear permeable stretching/shrinking surface with radiation effects is the important originality of the present study where the dual solutions for the flow reversals are obtained.
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Junkai Wang, Baolei Qi and Yaoxiang Nie
With increasing environmental issue and problems, this study aims to explore how the female directors' foreign experience and corporate green commitment in emerging economics like…
Abstract
Purpose
With increasing environmental issue and problems, this study aims to explore how the female directors' foreign experience and corporate green commitment in emerging economics like China from 2008 to 2020.
Design/methodology/approach
The authors draw data of all ‘A’ share listed firms listed on Shanghai and Shenzhen stock exchanges from 2008 to 2020 from the renowned Chinese database China Stock Market and Accounting Research (CSMAR). The study's data collection start from 2008, because data about green commitment are not available on CSMAR before 2008 and final year is 2020 because data about green commitment is available at the time of data collection. After dropping observations with missing data, the study's final sample contains 20,255 firm year-observations. Finally, in accordance with prior studies, the authors classified enterprises according to the “China Securities and Regulatory Commission” (2012) to categorize firms.
Findings
The authors find that female directors' foreign experience enhances the green commitment in Chinese listed companies. In additional analysis, the authors find this relationship is more pronounced when one or more foreign directors. The study's findings are robustness to different economic techniques and alternative measure of dependent variables and endogeneity concerns. Overall, the study's findings show that female directors with foreign experience transmit environmental and sustainable knowledge and practices to Chinese companies.
Originality/value
First, the authors believe that this is the first study to analyze the impact of the overseas experience of female directors on corporate green commitment. Most previous studies have examined the influence of the presence of female directors or different attributes such as age, education and independence of female directors on board decisions, in order to protect the interests of multiple stakeholders (Elmagrhi et al., 2019; He and Jiang, 2019; McGuinness et al., 2017). This study finds that, in addition to other different attributes, the foreign experience of female directors also has a significant role in promoting corporate green commitment. By pushing corporate green commitment, these women directors leverage their experience in advanced economies abroad to add to the Chinese government's environmental and sustainability goal of achieving net zero carbon by 2060. As such, this is one of the first studies to highlight the experiences of female directors in transferring environmental and sustainability practices to Chinese companies. Second, the authors add to the literature by integrating two important board perspectives, such as gender diversity and the impact of foreign experience on corporate green commitment. Previous research has explored the presence or absence of female directors on board or foreign experience. However, this study adds to the literature by introducing important attributes of the influence of female directors' foreign experience on decision making. Third, this study provides evidence on the impact of foreign independent directors on the board. The authors document foreign independent directors enhance the relationship between female directors' foreign experience and corporate green commitment. The study's findings complement previous research by Liang and Renneboog (2017), showing that female directors with foreign experience transfer advanced levels of environmental and sustainable practice knowledge to Chinese companies.