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The purpose of this paper is to explore the factors that influence migrant workers' household registration transfer willingness at both individual and urban levels and to provide empirical evidence on adjusting the household registration system to accommodate economic development and migrant workers' imbalances.

This paper adopts a hierarchical nonlinear model and examines individual and urban influencing factors of migrant workers' household registration transfer willingness, based on the data from China Migrants Dynamic Survey (CMDS) and the Urban Statistical Yearbooks.

This paper shows that: (1) multi-factors, such as age, education, marital status, household demographics, industry and migrant workers' contract coverage, have significant effects on migrant workers' household registration transfer willingness; (2) The urban public service equalization indicators, such as regional economic, educational resources, medical care and ecological quality, have significant effects on migrant workers' willingness to transfer household registration; (3) The heterogeneity of migrant workers' willingness to transfer household registration is significant in central, eastern and western China.

The authors provide a fresh perspective on population migration research in China and other countries worldwide based on the pull–push migration theory, which incorporates both individual and macro (urban) factors, enabling a comprehensive examination of the factors influencing household registration transfer willingness. This hierarchical ideology and approach (hierarchical nonlinear model) could be extended to investigate the influencing factors of various other human intentions and behaviors.

Micro approaches (individual perspective) have dominated existing studies examining the factors influencing migrant workers' household registration transfer willingness. The authors combine individual and urban perspectives and adopt a more comprehensive hierarchical nonlinear model to extend the empirical evidence and provide theoretical explanations for the above issues.

Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological computing, deep learning has become more popular among academicians and professionals to perform mining and analytical operations. In this work, the authors study the research carried out in field of text classification using deep learning techniques to identify gaps and opportunities for doing research.

The authors adopted bibliometric-based approach in conjunction with visualization techniques to uncover new insights and findings. The authors collected data of two decades from Scopus global database to perform this study. The authors discuss business applications of deep learning techniques for text classification.

The study provides overview of various publication sources in field of text classification and deep learning together. The study also presents list of prominent authors and their countries working in this field. The authors also presented list of most cited articles based on citations and country of research. Various visualization techniques such as word cloud, network diagram and thematic map were used to identify collaboration network.

The study performed in this paper helped to understand research gaps that is original contribution to body of literature. To best of the authors' knowledge, in-depth study in the field of text classification and deep learning has not been performed in detail. The study provides high value to scholars and professionals by providing them opportunities of research in this area.

The study aims to develop a holistic model identifying the constructs that impact customer loyalty in retail banking and introduce product type as a moderating variable to the model.

A conceptual model of customer loyalty is introduced and empirically tested with 416 valid samples obtained from Australian retail banking customers. The data were analysed using partial least squares structural equation modelling and multigroup analysis.

This study confirms the moderating effect of high- and low-involvement products on the relationship between customer loyalty and satisfaction, trust, service quality, commitment and perceived value. Surprisingly, the effect of satisfaction on loyalty was much stronger with low-involvement product types and the effect of commitment on loyalty was much stronger with customers who utilise high-involvement products.

The study uses a sample population in Australia who utilise one of the top four banks and investigates three product types. Further research could expand the product selection and include customers who use credit unions and other banks not in the top four categories.

This study is the first to confirm the moderating effect product type has on the customer loyalty relationship in retail banking in regard to high- and low-involvement product categories. The research provides a deeper understanding of the factors that influence customer loyalty and identifies which types of products influences customer loyalty the most. Additionally, this study highlights the importance of understanding the different needs and priorities of customers using different product types in order to effectively influence their loyalty.

The digital transformation in the banking industry has brought about complexity and competitiveness which has made differentiation challenging for banks. Complemented by consumer empowerment through high accessibility of information on the internet, this has led to a phenomenon known as switching behavior. The purpose of this review is to examine the determinants governing switching behavior among bank customers. This review highlights the importance of research which looks beyond pre-adoption behavior by examining post-adoption behavior; what happens after initial technology acceptance.

This review examines 44 journal articles researching switching behavior published between 1995 and 2022 in top journals. From a synthesis of literature, a conceptual framework for analysis and understanding switching behavior is presented.

Although various scholars have investigated switching behavior among bank customers, there are few studies which provide a comprehensive review and research classifications in this area. This review classifies key determinants of switching behavior into socio-demographic factors, situational triggers, influential triggers and reactional triggers. Structural equation modelling is the most common research methodology utilized in reviewed articles. The literature review reveals that mediators and moderators are less commonly deployed compared to determinants. Findings also indicate switching behavior studies still lack theory-driven conceptual frameworks.

This paper is the first systematic literature review on switching behavior research among bank customers spanning across 28 years in top academic journals. It integrates insights from 44 relevant research papers through publication trends. This review identifies key research gaps and provides future research directions.

This study aims to investigate two primary objectives. First, this study examines the influence of modified service quality dimensions on Islamic bank customer satisfaction using a compliance, reliability, empathy, assurance, tangible, operational efficiency, responsiveness (CREATOR) model. Second, the study explores the relationship between customer satisfaction, trust, loyalty and word of mouth (WOM) in Islamic banking of Pakistan.

The proposed model was analyzed using PLS-SEM-based approach. A total of 312 usable responses were used for data analysis.

The results indicate that all CREATOR dimensions have a significant positive impact on Islamic banks’ customer satisfaction. Similarly, this study also found a significant positive relationship between customer satisfaction, trust, loyalty and WOM. Overall, this study modified a well-established service quality framework by successfully implementing the CREATOR model in Islamic banking.

This study will provide helpful policy guidelines for Islamic bank managers improve their service quality and strengthen their relationships with existing and new customers. The authors are also sure that their proposed model will add value to the ongoing service quality literature by indicating the role of operational effectiveness in increasing customer satisfaction and promoting positive WOM.

The purpose of this paper is to perform a meta-bibliometric analysis of the banking service quality and to provide various research streams. Another goal is to provide future research questions to explore these areas in more detail.

The authors used three major academic databases (Scopus, ProQuest and EBSCO) from 1980–2021 and found 226 papers, where they performed the meta-bibliometric analysis by performing co-citation analysis, co-authorship analysis, cartographic analysis and content analysis.

The SERVQUAL model is the most used conceptual framework and model to study banking service quality. Structural equation modeling (SEM), followed by partial least squares SEM, is a majorly used method. There are three research streams in the literature: retail banking service quality, internet banking service quality and mobile banking service quality. Retail banking is the most studied stream, whereas mobile banking is the least studied stream. The study on banking service quality was initially conducted in developed markets, and later in emerging markets. All three streams have scope for further exploration, and hence, 44 future research questions have also been proposed.

This study has implications for bank managers, academicians and future researchers.

This study is unique in that it examines the meta-bibliometric dimensions of banking service quality and provides directions for future research for academicians and researchers.

This paper aims to analyse the influence of perceived value (PV), sensation seeking (SS) and low crowding (LC) on the satisfaction and behavioural intention (BI) of Indian pilgrim tourists to Kartarpur Corridor, Pakistan. In addition, it identifies the mediation effect of satisfaction in the structural relationship between PV, SS and LC as exogenous variables and BI as an endogenous variable.

By using convenience sampling, out of 510 questionnaires distributed among the Indian pilgrim tourists returning from Kartarpur Sahib, Pakistan, a total of 404 completely filled surveys were used to evaluate the robustness of the theoretical framework. Data analysis and empirical testing of the suggested model are conducted using descriptive statistics, confirmatory factor analysis and structural equation modelling.

The results reveal that PV, SS and LC positively affect the satisfaction of tourists crossing an international boundary, while satisfaction is the positive and significant antecedent of BI. Moreover, the indirect effects of PV, SS and LC on BI via satisfaction are found to be significant.

The previous literature has not paid much attention to the satisfaction and BI of tourists crossing an international border. The present article contributes to the existing volume of knowledge related to the satisfaction and BI of cross-border tourists. The study results may be useful for tourism marketers to better understand the factors that affect the satisfaction and BI of cross-border tourists.

(PV)、寻求感觉 (SS) 和低拥挤度 (LC) 对前往巴基斯坦 Kartarpur 走廊的印度朝圣游客的满意度和行为意向 (BI) 的影响。此外, 它确定了满意度在 PV、SS 和 LC 之间的结构关系中的中介作用作为外生变量, BI 作为内生变量。

通过便利抽样, 在从巴基斯坦 Kartarpur Sahib 返回的印度朝圣游客中分发的 510 份问卷中, 共有 404 份完全填写的调查被用来评估理论框架的稳健性。使用描述性统计、验证性因素分析 (CFA) 和结构方程模型 (SEM) 对建议模型进行数据分析和实证检验。

结果表明, 感知价值、寻求感觉和低拥挤度对跨越国际边界的游客的满意度有积极影响, 而满意度是行为意图的积极和重要的先决条件。此外, 感知价值、感觉寻求和低拥挤度通过满意度对行为意图的间接影响被发现是显着的。

以前的文献并没有太多关注游客穿越国际边界的满意度和行为意图。本文有助于增加与跨境游客的满意度和行为意图相关的现有知识量。研究结果可能有助于旅游营销人员更好地了解影响跨境游客满意度和行为意向的因素。

El objetivo de este artículo es analizar la influencia del valor percibido (VP), la búsqueda de sensaciones (SS) y el bajo nivel de aglomeración percibido (BA) en la satisfacción y la intención de comportamiento (IC) de los turistas peregrinos indios en Kartarpur, Pakistán. Adicionalmente, identifica el efecto mediador de la satisfacción en la relación estructural entre VP, SS y BA, como variables exógenas, e IC, como variable endógena.

Mediante un muestreo de conveniencia, de los 510 cuestionarios distribuidos entre los turistas peregrinos indios que regresaban de Kartarpur Sahib, Pakistán, se utilizaron un total de 404 cuestionarios, completamente cumplimentados, para evaluar la solidez del marco teórico. El análisis de datos y la evaluación empírica del modelo propuesto se realizan mediante estadística descriptiva, análisis factorial confirmatorio (AFC) y modelos de ecuaciones estructurales (MEE).

Los resultados revelan que el valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración afectan positivamente a la satisfacción de los turistas transfronterizos, mientras que la satisfacción es el antecedente positivo y significativo de la intención de comportamiento. Además, son significativos los efectos indirectos del valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración sobre la intención de comportamiento, a través de la satisfacción.

La literatura no ha prestado mucha atención a la satisfacción y la intención de comportamiento de los turistas peregrinos que cruzan una frontera internacional. El presente artículo contribuye al conocimiento existente relacionado con la satisfacción y la intención de comportamiento de los turistas transfronterizos. Los resultados del estudio pueden ser útiles para que los especialistas en marketing turístico internacional comprendan mejor los factores que afectan a la satisfacción y la intención de comportamiento de los turistas transfronterizos.

This paper aims to investigate customer attitude towards the use of emerging social media platforms (SMPs) for promotional activities by United Arab Emirates (UAE)-based Islamic banks, particularly, in the post-COVID-19 era. The key drivers of this research include analysing, anticipating and providing recommendations to reinvigorate the marketing and promotional strategies of the UAE Islamic banks to spark renewed customer interest.

This study is anticipatory and descriptive in nature. Primary data is used to understand customer perception towards the use of emerging social media marketing tools by the UAE-based Islamic banks. Reliability, factor analysis and multiple regression analysis are applied to understand customer attitude. While focusing on the current COVID-19 scenario, the need for innovative structure is envisaged to meet the post-COVID-19 needs.

The findings of this research highlight the significance of emerging SMPs such as WhatsApp, TikTok, Pinterest, Viber, Snapchat and their application as promotional tools to inspire the purchase intention of customers in this virtual age. The results of the study reveal these emerging SMPs are predicted to be used as the preferred promotional tools for Islamic banks.

This paper is limited to the UAE Islamic banks and to a specified set of SMPs as promotional tools. Nevertheless, its findings have important implications that can be extended and validated through studying the post-COVID-19 customer attitude towards other innovative promotional tools used by commercial banks in general and Islamic banks in particular, in the GCC and Middle East and North Africa (MENA) regions.

There is currently limited available research on the innovative social media marketing techniques and promotional strategies. This study is a novel attempt to examine the adoption of the emerging SMPs as promotional tools by the UAE Islamic banks. This paper extends value to the existing studies on the impact of the pandemic on the promotional activities of the UAE Islamic banking industry. Nonetheless, while regionally specific, it is valuable in its potential application to the Islamic banking sector in the entire GCC and MENA region in the post-COVID-19 era.

Competencies are significant predictors of employee outcome. Nowadays, new technologies are changing maintenance processes and workflow. The role of employees and their competencies will therefore undergo decisive changes in the future. Therefore, a well-designed competency model for maintenance departments is important. The purpose of this paper is to develop a maintenance 4.0 competency model applicable to all industrial sectors by adapting it to the specificities of each sector.

The research methods consist of a comprehensive literature review on the main characteristics of the competency model and the individual competencies needed for the maintenance 4.0 employees. Interviews were conducted in order to validate and prioritize the required competencies for maintenance 4.0 employees identified in the literature.

The maintenance 4.0 competency model combines the required competencies in maintenance 4.0 and crosses the three hierarchical levels: managers, engineers and technicians. These competencies are organized in terms of four categories: technical, personal, social and methodological. In addition, a degree of importance for each competency is assigned as very important, moderately important and slightly important. As a result, this study identified the essential competencies for maintenance 4.0 stakeholders, where 12 competencies are considered very important for maintenance 4.0 technicians, 19 for engineers and 18 for managers.

This work has some limitations. First, although the articles related to competencies and their classification were selected very carefully, it is difficult to eliminate the probability of overlooking publications. Second, the limitation of the study is based on the difficulty of implementing the model in a case study, given that a minority of industrial companies have implemented maintenance 4.0 technologies in Morocco.

This work has practical implications for both individuals and institutions (companies and academies) to cope with new competency requirements in maintenance 4.0. Organizations can use the model in the recruitment process and for the identification of training needs. The results of the research will also contribute to identifying the scope of competencies of the maintenance 4.0 actors (engineer, manager and technician), which, in practice, contributes to the creation of requirements for the candidates applying for a job in the maintenance department. Additionally, educational institutions should make the necessary changes to their curricula to suitably prepare students for the required maintenance 4.0 competencies.

The social implications of the article result from the contribution to the development of maintenance competencies. Individuals can use this model for their own personal development. Furthermore, companies can use this model to define job profiles for vacancies in M4.0. Therefore, using the model for training program implementation has a positive effect on employee job satisfaction and employees ’morale.

This research develops a novel maintenance 4.0 competency model by categorizing the maintenance workforce into three hierarchical levels: managers, engineers and technicians. In addition, the competency requirement is prioritized to three degrees: very important, moderately important and slightly important. According to the previous studies conducted on maintenance 4.0 and employees' competencies, this study revealed that no research has developed a competency model for maintenance 4.0. Hence, this model is unique, generic and integrative since it presents the most relevant competencies for the three hierarchical levels. Moreover, this work combines the results of the literature review and the experts' returns. This model can be useful in the recruitment of new maintenance employees, the evaluation of their performance and the identification of training needs to cope with new changes in maintenance competencies.

The paper attempts to construct a novel multi-objective grey hierarchical group consensus approach to deal with the group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among decision makers (DMs).

To deal with these group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among DMs non-cooperative behavior in uncertain information systems, considering the influence of coordination cost and the degree of group consensus, based on the idea of grey situation decision-making, the authors establish a multi-objective grey hierarchical group consensus model, and design different invalid decision elimination rules for decision-making groups of different sizes, and use a case verifies the effectiveness and feasibility of the model.

With the continuous improvement of the coordination cost budget, the degree of consensus of all departments and the overall consensus tend to be stable, and will no longer change with the increase of the coordination cost budget. The cost required by each department is basically consistent with the response trend of the cost required to coordinate the overall situation to the pre-set lower limit of group consensus.

The proposed approach can succeed in identifying DMs' information, and mine the DMs' information and help make a relatively more scientific decision.