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The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work.

This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh.

This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system.

The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education.

This study aims to answer two significant questions: What are the relative consumer and firm-level effects of marketing through metaverse compared to conventional marketing endeavours? What are the current trends in utilizing the metaverse as reported in the recent literature?

This study uses a systematic literature review methodology, using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart to synthesize existing research. A total of 35 articles written in English were selected and analysed from two databases, Web of Science and EBSCO Host.

The findings indicate that consumer-level effects of the metaverse include consumer loyalty and brand attachment. The firm-level benefits are decentralization and cost reductions. The paper proposes a framework indicating variables that could attenuate or enhance the association between immersive components of the metaverse and their resultant effects.

This study contributes to understanding the role of metaverse in marketing practices related to the marketing mix components. The study conceptualizes a novel framework for the metaverse and its resultant effects.

Despite its potential, warehouse managers still struggle to successfully assimilate autonomous mobile robots (AMRs) in their operations. This paper means to identify the moderating factors of AMR assimilation for production warehouses that influence the digital transformation of their intralogistics via AMRs.

Drawing on innovation of assimilation theory (IAT), this study followed an explorative approach using the principles of the case study method in business research. The cases comprised of four AMR end users and six AMR service providers. Data were collected through semi-structured interviews.

Four clusters of moderators that affect each stage of AMR assimilation were identified. These clusters include organizational attributes of end users (i.e. production warehouses), service attributes of service providers, technology attributes of AMRs and relational attributes between the AMR service providers and the AMR end users.

The authors extend the IAT framework by identifying various moderating factors between different stages of the AMR assimilation process. To the authors' knowledge, this is the first study to introduce the perspective of AMR end users in conjunction with AMR service providers to the “Industry 4.0” technology assimilation literature. The study propositions regarding these factors guide future intralogistics and AMR research.

To date, to the best of the authors’ knowledge, the use of implicit measures in the service research domain is limited. This paper aims to introduce implicit measures and explain why, or for what purpose, they are worthwhile to consider; how these measures can be used; and when and where implicit measures merit the service researcher’s consideration.

To gain an understanding of how implicit measures could benefit service research, three promising implicit measures are discussed, namely, the implicit association test, the affect misattribution procedure and the propositional evaluation paradigm. More specifically, this paper delves into how implicit measures can support service research, focusing on three focal service topics, namely, technology, affective processes including customer experience and service employees.

This paper demonstrates how implicit measures can investigate paramount service-related subjects. Additionally, it provides essential methodological “need-to-knows” for assessing others’ work with implicit measures and/or for starting your own use of them.

This paper introduces when and why to consider integrating implicit measures in service research, along with a roadmap on how to get started.

The purpose of this study is to examine whether victims of financial crimes are also affected by anomie. Fraud from supposed financial advisors leaves many victims feeling uncertain of their financial future and betrayed by people they trusted. This is felt even more when victims are betrayed by people in their own community. Previous research (see Hövermann et al. 2015a, 2015b, 2016, 2018) has found that individuals susceptible to the capitalistic values of the USA and other Western nations are more likely to cheat (Muftic, 2006), engage in rule-breaking (Zito, 2018) and believe in egoistic individuality (Hövermann et al. 2015a). This belief in these values could also increase the chance of victimization.

The authors used an experimental survey to assess whether institutional anomie theory (IAT) can also affect victimization at the individual level.

The authors find support for Messner and Rosenfeld’s (2001) IAT. An interaction was present, which revealed that IAT is more predictive when individuals are high in financial need. When individuals are desperate, they will find whatever means possible to meet the expectations of the American Dream, even if it involves investing their life savings with a potential fraudster.

This paper examines IAT as it relates to victim behavior. Further, this paper links the techniques of offenders using shared social status (i.e. affinity) with criminological theory.

In spite of the increased interest of academics, there has not been a thorough examination of the actors and factors of accessible tourism (AT) development. The purpose of this study is to investigate the relationships between stakeholders’ attitudes, collaborative intervention and corporate sustainability and responsibility (CS&R) and the implementation of accessible tourism (IAT).

Focus group discussion, an expert content validity test and structural equation modelling were all used as part of a mixed-methods approach. At the longest sea beach in the world, located in Bangladesh, data was collected from the tourism stakeholders using an on-site questionnaire survey.

Stakeholders’ attitude is significantly related to their collaborative intervention, but accessibility inclusive corporate substantiality and responsibility (AICSR) mediates the relationships between attitude and implementation, as well as collaborative intervention and implementation. As a result, AICSR is identified as a key driver in the IAT.

Purposive sampling was used to select stakeholders from Bangladesh’s most popular tourist destination. Nonetheless, the statistically valid model of this exploratory study can be tested for generalization in other contexts with a large sample size. The findings will bring diverse stakeholders to light and encourage barrier-free tourist growth that could improve the destinations’ comparative advantage and competitiveness.

This study is, to the best of the authors’ knowledge, one of the first studies to use rigorous quantitative methods to investigate AT implementation with a focus on CS&R. It adds to the existing AT literature by providing a scale and model of IAT while highlighting the extent to which AT can be implemented within CS&R.

尽管学术界对无障碍旅游发展的参与者和因素越来越感兴趣, 但还没有相关研究对此领域进行彻底的调查。本研究的目的是调查利益相关者的态度、协作干预、企业可持续性和责任 (CS&R) 与实行无障碍旅游 (IAT)之间的关系。

本文采用的混合研究方法包括了焦点小组讨论、专家内容有效性测试和结构方程模型 (SEM)。在位于孟加拉国的世界上最长的海滩上, 我们通过现场问卷调查从旅游利益相关者那里收集了数据。

利益相关者的态度与其协作干预显著相关, 但企业可持续性和责任的无障碍包容性（AICSR）在态度与实施以及协作干预与实施之间的关系中起中介作用。因此, AICSR 被确定为实施无障碍旅游的关键驱动力。

立意抽样法用于从孟加拉国最受欢迎的旅游目的地选择利益相关者。尽管如此, 该探索性研究的统计有效模型可以在具有大样本量的其他情况下进行泛化测试。调查结果将揭示不同的利益相关者, 并鼓励无障碍的旅游增长, 从而提高目的地的比较优势和竞争力。

本文是最早以CS&R为重点, 使用严格的定量方法调查实行无障碍旅游的研究之一。它通过提供 IAT 的规模和模型来补充现有的无障碍旅游文献, 同时强调无障碍旅游可以在 CS&R 中实施的程度。

A pesar del creciente interés de los académicos, no se han examinado a fondo los actores y factores del desarrollo del turismo accesible. El propósito de este estudio es investigar las relaciones entre las actitudes de los actores, la intervención colaborativa y la sostenibilidad y responsabilidad corporativa (RSC) y la implementación del turismo accesible (ITA).

El estudio utiliza un enfoque de métodos mixtos que incluye una discusión de grupo focal, una prueba de validez de contenido de expertos y un modelo de ecuaciones estructurales (MEE). En la playa marítima más larga del mundo, situada en Bangladesh, se recogieron datos de los agentes turísticos mediante una encuesta con cuestionario in situ.

La actitud de las partes interesadas está significativamente relacionada con su intervención colaborativa, pero la sustancialidad y la responsabilidad corporativa inclusiva de la accesibilidad (SRCIA) media las relaciones entre la actitud y la implementación, así como la intervención colaborativa y la implementación. Como resultado, la SRCIA se identifica como un factor clave en la implementación del turismo accesible.

Se utilizó un muestreo discrecional para seleccionar a las partes interesadas del destino turístico más popular de Bangladesh. No obstante, el modelo estadísticamente válido de este estudio exploratorio puede probarse para su generalización en otros contextos con una muestra grande. Las conclusiones mostrarán diversos grupos de interés y fomentarán el crecimiento del turismo sin barreras que podría mejorar la ventaja comparativa y la competitividad de los destinos.

Se trata de uno de los primeros estudios que utilizan métodos cuantitativos rigurosos para investigar la implantación del turismo accesible centrándose en la RSC. Contribuye a la bibliografía existente sobre turismo accesible al proporcionar una escala y un modelo de ITA, al tiempo que pone de relieve hasta qué punto se puede implementar el turismo accesible dentro de la RSC.

Building on both the uncanny valley and construal level theories, the analyses detailed in this paper aims to address customers’ explicit and implicit attitudes toward various service robots, categorized by the degree of their human-like appearance, namely, mechanoids (low human-likeness), humanoids (medium human-likeness) and realistic robots (high human-likeness).

The analyses reflect a mixed-method approach, across three studies. A qualitative study uses focus groups to identify consensual attitudes. An experiment measures self-reported, explicit attitudes toward the three categories of robots. Another experiment explores customers’ implicit attitudes (unconscious and unintentional) toward robots, using three implicit association tests.

Customers express both positive and negative attitudes toward service robots. The realistic robots lead to both explicit and implicit negative attitudes, suggesting that customers tend to reject these robots in frontline service settings. Robots with lower human-likeness levels generate relatively more positive attitudes and are accepted to nearly the same extent as human employees in hospitality and tourism contexts.

Because customers reject, both consciously and unconsciously, very human-like robots in service encounters, managers should leverage this key finding, along with the more detailed results, to inform their strategic introduction of robots into hospitality frontline service settings.

The combined qualitative and quantitative studies specify and clarify customers’ implicit and explicit attitudes toward robots with different levels of human-likeness, in the real-world setting of hospitality and tourism services. Such insights can inform continued research into the effects of these service innovations.

This study aims to examine the impact of social media (SM) on the interactivity among teachers, among students and between students and teachers for sustainable academic performance and for achieving sustainable development (SD) in higher educational institutes. This study also investigates the moderating impact of knowledge creators (KNC) and knowledge seekers (KNS) on the collaborative learning environment using SM.

With the help of Vroom’s expectancy motivation theory (1964), collaborative learning theory and other theories, a theoretical model has been developed. This theoretical model has been tested using the structural equation modeling technique with 375 participants taken from different educational institutes. The respondent-–participants were both teachers and students.

The study found that SM plays a significant role in achieving SD al goals and enhances collaborative learning activities among teachers and students to improve academic performance to achieve SD in higher educational institutes. Also, the study highlighted that both “knowledge creators” and “knowledge seekers” have effective moderating impact on the linkage between “intention to use SM for knowledge sharing” and “collaborative learning using social media” to achieve SD al goals.

With the inputs from expectancy-instrumentality-valance theory and collaborative learning theory and existing literature, a theoretical model has been developed conceptually. Later, the model was successfully validated with an overall high explanatory power (72%) of this model. As the sample of the study do not represent a global representation of the population, thus the findings cannot be generalizable.

This study has provided valuable inputs to the SD practitioners and educational policymakers to formulate appropriate policies that enable SD al activities in higher educational institutes. This study also provides food for thought to the policymakers about the role of KNC and KNS toward the collaborative learning environment in achieving SD al goals in higher educational institutes.

The theoretical model developed in this study is unique. This study shows how both “knowledge creator” and “knowledge seeker” play a significant role toward collaborative learning and helps to achieve SD in higher learning institutes and improves their performance. The overall predictive power of the model is 72%, which also shows the effectiveness and uniqueness of the proposed model.

The purpose of this paper is to determine current and potential takaful customers’ perception of takaful product and its adoption in Somalia.

This study used three originally selected constructs of perceived relative advantage, perceived compatibility and perceived complexity of diffusion of innovation (DOI) theory and adds three additional constructs of level of customer awareness, culture and perceived trust. A total of 427 questionnaires were collected from the participants of the study using a nonprobability convenience sampling technique. For data analysis, Smart PLS3 and SPSS software were used. The survey was conducted in Somalia, with respondents being current and potential takaful product’s customers. The DOI theoretical model was put to the test using structural equation modeling.

The findings showed that perceived relative advantage, perceived compatibility, awareness, perceived culture and perceived trust have a positive and significant influence, whereas perceived complexity has an insignificant influence on the adoption of takaful products.

This research is a pioneering attempt to investigate the determinants of current and potential takaful customers’ adoption by changing the DOI theory, and it presents a unique contribution to the field with regard to Somalia.