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Appropriate target market selection and classification are complex, time-consuming, and strategically important management decisions. The current study proposes and implements a new systematic approach that evaluates and ranks alternative markets’ potential to increase the export volume of Turkey’s fig exports.

The classification approach of potential market alternatives (CAPMA) method, which was developed to evaluate, compare, and classify alternative markets according to their potential, was used in this study. CAPMA, an objective decision-making technique, is based on calculating the classification coefficient and classifying the alternatives into four dimensions, taking this coefficient into consideration. In the current study, 25 alternative markets were analysed on the basis of four evaluation criteria and classified into four dimensions according to their potential to increase export volume.

According to the application results, alternative markets with the greatest potential to increase export volume were identified as the United States of America (USA), Netherlands, China, and Spain. The USA has the greatest potential for expansion of export volume. By implementing correct and effective marketing strategies, fig export volume has the potential to reach very high levels.

The study’s results on alternative markets for fig exports were categorized, countries with greater potential to increase export volume were identified, and findings that could contribute to the development of the sector were obtained. The approach proposed in the current research can be used to determine the target market of many other products, especially agricultural products, whose production is concentrated within a specific geography.

The aim of the proposed classification approach of potential market alternatives (CAPMA) is to provide exporting countries with a framework for identifying potential market opportunities for their products or services.

In today's global market conditions, with competition increasing daily, companies, businesses and states must seek new markets at the national and international level. Target market selection is a strategic process that directly affects the success of an organization and can lead to important results in the short and long term. The process requires systematic research and digitization of data to analyse target markets.

The study tested the proposed approach by analysing Turkey's potential markets for hazelnut exports and identifying new target markets. A significant part of Turkey's hazelnut exporting is confined to the European geography of Turkey, the leading country in hazelnut production and export. Twenty potential markets were evaluated on the basis of 11 criteria, and feasible alternatives were categorized into four classes. The study revealed that the USA, India, the United Kingdom and Japan were in the category of markets with the greatest potential for increasing exports (Dimension 1).

This study has developed a novel approach that allows the comparison of the current market situation with potential market outcomes and creates an accurate classification of target markets.

This research aims to test the effects of attitude, perceived behavioral control (PBC), subjective norm and perceived quality of official coronavirus disease 2019 (COVID-19) websites on intention to use official COVID-19 websites.

This study collected data using an online questionnaire. It involved 120 Indonesians who used official COVID-19 websites. The data were analyzed using the multiple regression analysis.

This research found that intention to use official COVID-19 websites is significantly and positively affected by the quality of the website, attitude and subjective norm. PBC does not influence intention to use official COVID-19 websites.

This research was only conducted in the context of Indonesians. Furthermore, a convenience sampling technique was applied. Future research should be done in a different context with larger samples to test the generalization of this research's findings.

To improve intention to use official COVID-19 websites, people must be directed to have a positive attitude toward the website. The developer must ensure the quality of the website. It is also essential to involve leaders and public figures whose opinions might be able to sway citizens to use official COVID-19 websites consistently.

This research is the first one of its kind that studied citizens' intention to use official COVID-19 websites.

This research seeks to simultaneously test the effect of attitude towards the behavior of following the “Stay at Home” policy, subjective norm, perceived behavioral control, perceived susceptibility and perceived severity on people's intention to follow the “Stay at Home” policy during COVID-19 pandemic.

The data were collected through an online survey with 148 respondents in the Greater Area of Jakarta, Indonesia. The data were then analyzed using multiple regressions.

The findings show that attitude towards the behavior, subjective norm and perceived behavioral control positively and significantly affect intention to follow “Stay at Home” during the COVID-19 pandemic. However, perceived susceptibility and perceived severity of COVID-19 do not significantly influence the intention to follow “Stay at Home” during the COVID-19 pandemic.

This research was limited to the Greater Area of Jakarta, Indonesia. Furthermore, sampling was done through convenience sampling. Therefore, future research should be conducted in a different context to test the generalization of this research's findings.

To encourage citizens' adherence to the stay-at-home policy during the COVID-19 pandemic, they must be directed to have positive attitudes toward the policy. Financial and non-financial supports are critical to ensure citizens' ability to sufficiently observe the policy sufficiently. Another important aspect is the influence of leaders and public figures to consistently call for obedience consistently.

This is the first research that studies citizens' behavior related to the “Stay at Home” policy requisitioned by the government to hinder the spread of COVID-19.

The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites.

The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation.

The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information.

This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer.

The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.

This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.

The results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.

This study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.

The model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.

This research investigates factors affecting the intention to sort waste. Specifically, this research aims to develop a waste-sorting intention model by extending the theory of planned behavior (TPB) model and to test the model to ensure the model's goodness-of-fit, validity and reliability.

This research used a quantitative research methodology. Data were collected from 460 respondents using an online questionnaire. Some statistical analyses were performed to analyze the data: descriptive statistics, factor analysis, confirmatory factor analysis-structural equation modeling (CFA-SEM), SEM and Cronbach's alpha analysis.

The result shows that the intention to sort waste was directly affected by attitude, subjective norms, perceived behavioral control (PBC), moral obligation and facility support. Environmental concerns, waste-sorting knowledge and time availability indirectly influenced the intention to sort waste. The testing indicated that the proposed model was fit, valid and reliable.

The model provides a more comprehensive understanding of waste-sorting intention. The central and local governments can use the results to encourage waste-sorting intention in the community.

This research is believed to be the first study to develop and test the waste-sorting intention model that extends the TPB model by incorporating moral obligation, facility support, policy and regulation support, environmental concerns, waste-sorting knowledge and time availability into the traditional TPB model.

This paper aims to investigate the impact of place-making on the quality of place through community-organised art festivals, with two case studies in urban informal settlements or kampungs in Indonesia.

Findings presented here are based on data collected and 39 in-depth interviews conducted in 2017 in two kampungs, namely, Kampung Dago Pojok, Bandung and Kampung Bustaman, Semarang.

This paper argues that place-making can happen through temporary practices, such as festivals, and improve the quality of place in informal settlements. It indicates and analyses the kinds of activities that increase the aesthetic value of spaces and build a positive image of the kampungs. The study concludes with the finding that place-making through temporary interventions has the potential to permanently change and reshape public space. At the core of these activities is the collective and voluntary work known as kerja bakti that is done by the kampung communities and the civil society organizations involved.

The paper offers a fresh perspective in the context of understanding the implications of place-making in the Global South. Assessing the development of public space, the paper provides insights into the use of grassroots festivals as a tool to permanently reshape urban spaces and engage the local community throughout the process.

Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.

This is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.

The structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.

Further, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.

The empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.

This study assesses the current landscape of business continuity management (BCM) research while exploring research trends, structures and delineating potential future directions.

A comprehensive bibliometric analysis was conducted on 360 articles from the Scopus and Web of Science databases using Biblioshiny software. A meta-synthesis was employed to aggregate and synthesize findings from the bibliometric results.

The results demonstrate a notable increase in publication numbers since the onset of the pandemic, reaching a peak in 2022 with a total of 342 articles. A collaborative bond among scholars transcends geographical boundaries and national affiliations. The analytical results propose avenues for future research, addressing crucial areas such as the integration of business continuity management systems (BCMS), the development of BCM frameworks and a comparative analysis of business impact analysis (BIA) frameworks through pertinent theories.

The study contributes theoretical and practical implications, serving as a valuable resource for academics and practitioners seeking to deepen their understanding of BCM’s role in business recovery and preserving organizational continuity in the face of disruptions.

This study pioneers a comprehensive approach by integrating bibliometric analysis and qualitative meta-synthesis, providing a consolidated overview of BCM research. Additionally, it presents future research proposals in this area.