Search results

The purpose of this study is to primarily focus upon the acknowledged benefits of tourist-to-tourist (t2t) encounters through productive interactions among tourists, rather than focusing on interactions between tourists and service providers.

This study delves into various value dimensions among Indian tourists that arise during different co-creation stages. A rigorous mixed-methods approach, coupled with a three-wave analysis, was used to develop a comprehensive six-dimensional scale for measuring t2t value co-creation.

The research findings shed light on the dimensions constituting t2t value co-creation, thereby providing a nuanced understanding of their interactions. The developed six-dimensional scale offers a structured framework to quantify positive interactions among tourists, previously unexplored in the literature.

This study significantly contributes to the field of tourism experience by enriching the literature on t2t interaction and value co-creation. Moreover, it provides valuable conceptual, practical and instructive insights for service design and administration within the tourism industry. These insights potentially enhance the overall tourist experience and facilitate more meaningful interactions among tourists, thereby contributing positively to the tourism sector.

The research breaks new ground by shifting the focus from tourist-service provider interactions to productive relationships among tourists. It introduces a pioneering six-dimensional scale, quantifying positive t2t value co-creation. Concentrating on Indian tourists, this study offers unique cultural insights. Methodologically rigorous and practically impactful, it clarifies conceptual ambiguities laying the foundation for nuanced research in understanding tourist interactions and value co-creation.

This study aims to examine the interrelationships between social media marketing activities, self-brand connections, brand equity, trust and loyalty.

A total of 402 valid responses were collected from Amazon MTurk, and the data were subjected to partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

Findings indicate that social media marketing activities strongly and positively influence self-brand connection, brand equity and brand trust. Moreover, brand loyalty was strongly and positively influenced by self-brand connection, brand equity and brand trust. Moreover, the findings from fsQCA indicate that three causal paths lead to a high level of brand loyalty, and one causal path determines a low level of brand loyalty.

This research extends current knowledge by bridging the literature between social media marketing activities and branding using self-brand connections. Additionally, this study uses the strength of two complimentary methods – symmetrical and asymmetrical modeling – to uncover how social media marketing activities bridge customer-brand relationships.

Este estudio examina las interrelaciones entre las actividades de marketing en redes sociales, las conexiones de marca propia, el valor de la marca, la confianza y la lealtad.

Se recopilaron 402 respuestas válidas de Amazon MTurk, y los datos fueron sometidos a PLS-SEM y análisis cualitativo comparativo con conjuntos difusos (fsQCA).

Los resultados indican que las actividades de marketing en redes sociales influyen fuertemente y de manera positiva en la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, la lealtad a la marca es influenciada fuerte y positivamente por la conexión de marca propia, el valor de la marca y la confianza en la marca. Además, los resultados de fsQCA indican que tres vías causales conducen a un alto nivel de lealtad a la marca, y una determina un bajo nivel de lealtad a la marca.

Esta investigación amplía el conocimiento actual al vincular la literatura entre las actividades de marketing en redes sociales y el branding utilizando conexiones de marca propia. Además, este estudio utiliza dos métodos complementarios – modelado simétrico y asimétrico – para descubrir cómo las actividades de marketing en redes sociales construyen las relaciones entre cliente y marca.

本研究探讨社交媒体营销活动、自我品牌连接、品牌资产、信任和忠诚度之间的相互关系。

从亚马逊MTurk收集了402个有效回复, 并对数据进行了PLS-SEM和模糊集合质性比较分析 (fsQCA) 的处理。

研究发现, 社交媒体营销活动对自我品牌连接、品牌资产和品牌信任产生了强烈而积极的影响。此外, 自我品牌连接、品牌资产和品牌信任也对品牌忠诚度产生了强烈而积极的影响。fsQCA的结果显示, 导致高水平品牌忠诚度的有三条因果路径, 而导致低水平品牌忠诚度的有一条因果路径。

本研究通过构建社交媒体营销活动与品牌之间的桥梁, 利用自我品牌连接, 扩展了当前知识。此外, 利用对称和非对称建模两种互补方法的优势, 揭示了社交媒体营销活动如何建立客户品牌关系。

The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ω_Total), omega hierarchical (ω_H), Revelle’s omega total (ω_RT), Minimum Rank Factor Analysis (GLB_fa) and GLB algebraic (GLB_a).

A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Overall, ω_Total was the best-performing estimator across all conditions, whereas ω_H performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ω_RT, GLB_fa and GLB_a performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLB_a consistently outperformed GLB_fa.

This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.

The main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.

This research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.

The introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.

This paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

The purpose of this study is to investigate the integrated ICT-based library services at the Indian Institute of Technology (IIT) from the users' perspectives. By evaluating these services, the study seeks to know how ICT integration enhances academic access, user satisfaction and overall library functionality.

The research employed a survey approach with a questionnaire as the primary data collection tool, involving a sample of 277 participants, determined through the Cochran sample size formula, with a 95% confidence level and a ±5% margin of error, drawing upon 25% of the population using a stratified random sampling technique. The collected data were analyzed using SPSS software version 23, applying statistical tests including T-tests, ANOVA and multivariate MANOVA, along with Tukey’s post hoc analysis.

The findings revealed that the library is equipped with a state-of-the-art ICT infrastructure facility, which significantly impacts users' academic performance. Research scholars (RS) perceived the highest impact with a mean score of 60.01, followed by postgraduates at 50.04 and undergraduates at 39.83. In terms of ICT-based library services, RS exhibit the highest usage. Additionally, the results indicate a high overall satisfaction level among users regarding library resources and services, with a mean satisfaction score of 4.10. However, 28.5% (N = 79) of respondents reported issue “in locating specific information.”

The study demonstrates how the integration of ICT can significantly enhance service delivery, support academic advancement and improve user satisfaction in an increasingly digital and networked environment. These findings and strategies are valuable for libraries around the world, providing a roadmap for using technology to satisfy their users' changing requirements and encouraging an atmosphere of innovation and constant development for library services.

By focusing on user perspectives, the study provides actionable recommendations for library administrators and policymakers aiming to optimize library services in the digital age. The findings can serve as a benchmark for similar academic institutions striving to enhance academic access through technological advancements.

The purpose of this study is to examine the Google Scholar (GS) and Scopus citations profiles of library and information science (LIS) faculty members employed in central universities in India to determine their research online visibility.

The data was collected through manual searches conducted on GS and Scopus profiles by the end of August 2023, using the names of the faculty members along with their affiliations. The determination of the minimum sample size for each was calculated based on Cochran’s formula.

The study revealed that out of 104 LIS faculty members from 19 central universities, 78 (75.0%) faculty members have profiles on GS, while 61 (58.6%) of them are on Scopus. The study found that the faculty members have a substantial number of publications on GS, while their publication count on Scopus appears comparatively lower. The results suggest that certain faculty members have produced a modest number of publications but have received a substantial number of citations compared to their colleagues. Consequently, it can be inferred that there is no straightforward correlation between the volume of publications and citation metrics.

As the study exclusively focused on LIS faculty members working within central universities in India who have profiles on GS and Scopus, the researchers did not reach all LIS faculty members in India.

The significance of this research lies in its potential of insights into research productivity and its impact, which are crucial aspects of academia. The study provides valuable insights for individual researchers, LIS departments, institutes and universities in India and other countries to enhance their research performance and foster collaboration by establishing new research guidelines.

There have been no published research studies regarding the GS and Scopus citation metrics concerning LIS faculty members across all central universities in India.

Information is presented in various modalities such as text and images, and it can quickly and widely spread on social networks and among the general public through key communication nodes involved in public opinion events. Therefore, by tracking and identifying key nodes of public opinion, we can determine the direction of public opinion evolution and timely and effectively control public opinion events or curb the spread of false information.

This paper introduces a novel multimodal semantic enhanced representation based on multianchor mapping semantic community (MAMSC) for identifying key nodes in public opinion. MAMSC consists of four core components: multimodal data feature extraction module, feature vector dimensionality reduction module, semantic enhanced representation module and semantic community (SC) recognition module. On this basis, we combine the method of community discovery in complex networks to analyze the aggregation characteristics of different semantic anchors and construct a three-layer network module for public opinion node recognition in the SC with strong, medium and weak associations.

The experimental results show that compared with its variants and the baseline models, the MAMSC model has better recognition accuracy. This study also provides more systematic, forward-looking and scientific decision-making support for controlling public opinion and curbing the spread of false information.

We creatively combine the construction of variant autoencoder with multianchor mapping to enhance semantic representation and construct a three-layer network module for public opinion node recognition in the SC with strong, medium and weak associations. On this basis, our constructed MAMSC model achieved the best results compared to the baseline models and ablation evaluation models, with a precision of 91.21%.

The purpose of this paper is to analyse the determinants of financial inclusion among women-owned informal enterprises in India.

The study is based on a primary survey of 321 informal enterprises. The data has been collected through a structured questionnaire. A chi-square test has been used to examine the significant association between the characteristics of informal enterprises and their owners and financial inclusion. A logistic regression model has been developed to analyse the determinants of financial inclusion among women-owned informal enterprises.

A significant and negative association has been found between business duration and entrepreneurs’ experiences with financial inclusion. In addition, the chi-square test shows a significant association between resource capability, use of ICT by enterprises and financial inclusion. Further, logistics regression shows that duration of business, entrepreneurial experience, resource capability in terms of machinery and equipment use, and ICT are significant determinants of financial inclusion among women-owned informal enterprises.

There are several practical implications for national policymakers and other stakeholders, such as banks and international bodies working on financial inclusion. It is suggested that while designing the policy for financial inclusion among woman-owned informal enterprises, it should ensure that experience and older woman entrepreneurs are included in financial inclusion schemes.

There has been very few research on financial inclusion in woman-owned businesses. However, no research has been conducted on the financial inclusion of women-owned informal businesses. This study fills a gap by investigating the factors that influence financial inclusion in women-owned informal businesses.

The purpose of this study is to provide a comprehensive exploration of academic research on halal purchasing decisions and consumer behavior by integrating bibliometric and systematic review methodologies.

This study uses a multi-method approach, combining bibliometric and systematic review methodologies, to comprehensively analyze the domain of halal purchasing decisions and consumer behavior. A data set of 184 articles published between 2007 and 2024 was sourced from the Scopus database. The bibliometric analysis was conducted using Bibliometrix in R, facilitating performance analysis, science mapping and network analysis to explore key authors, affiliations, collaborations and thematic trends. Additionally, the systematic review examined the limitations and future research areas discussed in prior studies, providing the basis for formulating potential research questions to address identified gaps.

The study identifies significant contributions within the domain of halal purchasing decisions and consumer behavior, emphasizing the critical roles of religiosity, trust and halal certification as dominant themes. Bibliometric analysis reveals key authors, influential publications and collaborative networks, highlighting Malaysia as a central hub for research in this field. Additionally, the analysis underscores the intellectual structure and thematic evolution, identifying underexplored areas such as non-Muslim perspectives, emerging halal industries and geographic diversity. The systematic review complements these insights by addressing recurring methodological and theoretical limitations, offering targeted recommendations for future research.

This research uniquely combines bibliometric and systematic review methodologies to provide a comprehensive review of the halal consumer behavior literature, identifying limitations and gaps in prior studies and proposing actionable areas for future research.

This paper aims to examine existing literature on halal food consumption from the perspective of consumer behaviour research. It identifies progress, current state and gaps and provides direction for future research to advance the field.

This paper reviewed papers from 2007 to 2023 using Scopus and WOS databases. The review used the Theories–Context–Characteristics–Methods (TCCM) framework and followed the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol.

The review summarises the methods, theory and approaches used in the topic and presents key findings and a proposed framework. It can guide future researchers in developing their models, making it a valuable starting point for future research. Despite the existence of SRL in halal food to the best of the authors’ knowledge, this work is the first review that proposes a model for halal food in consumer behaviour.

This review provides a twofold contribution. First, this review's theoretical contribution is advancing consumer behaviour literature on halal food. Second, this work's practical contribution is to enrich practitioners' understanding of the antecedents of consumer behaviour regarding halal food. This is the first review proposing a consumer behaviour model for Halal food. It makes a theoretical contribution to understanding consumer behaviour on Halal food and provides practical insights for practitioners.