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Since the outbreak of the Covid-19 pandemic, many restaurants and catering businesses have introduced or improved online food ordering and delivery services (OFODSs). This study aims to identify service quality expectations about OFODSs, to examine their content and to suggest management strategies to meet these expectations.

Adopting a qualitative method, four focus groups were conducted amongst Italian users of OFODSs.

The results reveal three dimensions of expectations, each comprising two categories that can be set along a continuum: (1) basicness of expectations (ranging from implicit to explicit), (2) accuracy of expectations (ranging from fuzzy to precise) and (3) attainability of expectations (ranging from realistic to unrealistic). Content may refer to technical, social, economic, legal and technological aspects. To meet customer expectations, the following strategies are suggested: customer reassurance, flexibility, continuous improvement, customer education, adaptation to customers' requirements and monitoring of exceptions.

This study provides specific activities in which restaurants and catering businesses could invest to enact the management strategies that emerged from the analysis.

This paper proposes a new classification of expectations and framework for improving OFODS quality by managing customer expectations.

The COVID-19 pandemic has resulted in significant changes in tourists’ attitudes and behaviors mostly as a result of confinement-related problems. Although various studies have been conducted to analyze customers’ perceptions of service quality and satisfaction using a drop-off/pick-up method, the influence of COVID-19 on customers’ perceptions of service quality and satisfaction has not been examined using online reviews. It is critical to evaluate satisfaction aspects from user-generated content to ascertain their preferences for hotel services during the pandemic. This research aims to explore the viewpoint shared online by hotel tourists, as well as identify which service practice is associated with higher and lower satisfaction during the COVID-19 pandemic.

The study aims to examine the factors affecting the customers' choice of Bangladeshi banks during the Covid-19 pandemic and the moderating effects of private and public banks on this association.

This study is based on explanatory research, where significant factors have been explored to evaluate the customers' perception of private and public banks in Bangladesh. Primary data are accumulated through an online survey from customers who have an account in a private or public bank in Bangladesh during the past four months, where 318 (non-probability convenience sampling) are usable, and secondary data are collected from various sources. Descriptive statistics, multiple and hierarchical multiple regressions have been conducted.

The results revealed that customers consider safe and secure websites, infrastructural facilities, technological know-how, service, price, time, payment, administrative and psychological factors in choosing Bangladeshi banks during Covid-19. Moreover, the results show that private and public banks have moderated these associations.

During Covid-19, few studies were conducted on Pakistani, Sri Lankan and Ethiopian banking customers, where different factors are significant; however, this study is unique because all factors are significant for Bangladeshi banking customers. The findings will originate the value with several theoretical implications and managerial guidelines.

Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control.

A biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.

The proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO₂ emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO₂ emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO₂ emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of “Efficiency of CO₂ Emissions Control Reduction.” It can provide managers with a way to double-target conversion.

We proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.

This paper aims to study the performance of the Journal of Islamic Marketing (JIMA). This study identifies the influential scientific actors and identifies the major dimensions and themes of the journal.

This study adopts a bibliometric method. A total of 483 articles and 27 reviews of the journal were collected from the Scopus database. This paper analyses the data using RStudio, VOSviewer and Microsoft Excel. Analyses were divided into three main categories: general performance indicators, citations analysis and cross-dimensional keywords analysis.

Islamic marketing establishes itself as an industry of its own, not as a cohort of Islamic finance. This study finds that JIMA played an active role in that respect. Islamic marketing has been primarily an Asian-dominated industry. Malaysia has led the development and publication of resources on Islamic marketing, followed by recent initiatives in Indonesia, Iran and Pakistan. There are also unique cases of Islamic marketing growth in non-Asian Muslim-minority countries, including the USA, the UK and Australia. Finally, loyalty, religiosity, halal food and intention of the Muslim consumers are the key dimensions covered by JIMA authors. This paper expects that JIMA will cater to the growing needs of Islamic marketing in diversified sectors, Islamic social marketing analytics, post-purchase attributes and multidimensional integration of Islamic marketing research in the dominance of diverse leadership styles and ownership structures.

The study provides an objective evaluation of the journal’s progress through a decade of its operation; it highlights the achievements and discusses the progress and contribution of the journal to the scientific community.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.