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This paper aims to investigate travelers’ intentions to use ChatGPT and the influential factors affecting their decision-making.

Four studies were conducted to test three hypotheses. Four groups of respondents totaling 593 (Study 1), 337 (Study 2), 374 (Study 3) and 385 (Study 4) survey participants were used for data analyses.

Overall, the findings confirmed the impacts of technology usage experience and ChatGPT’s mistakes and provided additional information on travelers’ intentions to use ChatGPT. The four hypotheses were supported.

The findings can help researchers and industry to understand travelers’ intentions to use ChatGPT and their responses to its functions.

这项研究调查了旅行者使用ChatGPT的意图, 以及影响其决策的重要因素。

通过进行四项研究来验证三个假设。四组受访者总共593名（研究1）、337名（研究2）、374名（研究3）和385名（研究4）参与了数据分析。

总体而言, 研究结果证实了技术使用经验的影响、ChatGPT的错误并提供了有关旅行者使用ChatGPT意图的更多信息。四个假设均得到了支持。

研究结果可以帮助研究人员和业界了解旅行者使用ChatGPT的意图, 以及他们对其功能的反应。

Este trabajo investiga la intención de los viajeros en el uso de ChatGPT y su influencia en el proceso de decisión de viaje de los viajeros.

Se han desarrollado cuatro estudios para probar tres hipótesis. Cuatro grupos de participantes: 593 (Estudio 1), 337 (Estudio 2), 374 (Estudio 3), y 385 (Estudio 4) participantes respondieron la encuesta y sus respuestas utilizadas para el análisis de datos.

En resumen, los resultados confirman el impacto de la experiencia de uso de la tecnología, los errores de ChatGPT, proveyendo información adicional sobre la intención de uso de ChatGPT por los viajeros. Las cuatro hipótesis de investigación fueron aceptadas.

Los resultados pueden ser útiles para la academia y la industria sobre la comprensión en la intención de uso de ChatGPT, tanto por los viajeros, como sus respuestas sobre su función.

This study aims to explore the interplay of cognitive, affective, and normative constituents for their potential acceptance or rejection of artificial intelligence (AI) and ChatGPTs in the hospitality and tourism context.

Using an advanced analytical approach (i.e. a fuzzy-set qualitative comparative analysis), the study tested hypotheses based on 474 responses from individuals who have used ChatGPT for hospitality and tourism information.

The study found multiple solutions, including cognitive, affective and normative drivers for strong and weak continuance intentions toward AI-based ChatGPT. Informativeness, one of the cognitive drivers, was found to be a necessary condition for achieving the desired outcome.

This research provides novel insights into the functionality of developing multiple configurations to predict complex travelers behaviors in the context of hospitality and tourism technology consumption.

本研究旨在探讨认知、情感和规范成分之间的相互作用, 以及它们在接受或拒绝在酒店和旅游环境中使用人工智能（AI）和 ChatGPT 的潜力。

使用先进的分析方法（即模糊集定性比较分析）, 本研究基于 474 份使用 ChatGPT 获取酒店和旅游信息的个人的回答, 测试了假设。

本研究发现了多个解决方案, 包括认知、情感和规范驱动, 对基于 AI 的 ChatGPT 的强弱持续意图。信息性, 作为认知驱动之一, 被发现是实现期望结果的必要条件。

本研究为在酒店和旅游技术消费环境中预测复杂旅行者行为的功能性开发多个配置提供了新颖见解。

This research paper aims to explore the concerns and determinants of travelers’ behavior toward ChatGPT in the hospitality and tourism context. It also examines the weight of risk factors versus that of motivation and innovation characteristics influencing travelers’ approach behaviors toward ChatGPT.

A cumulative prospect theory was used to determine travelers’ responses to ChatGPT. This study, using a fuzzy-set qualitative approach, explored risk, motivation and innovation factors as determinants of approach behaviors for ChatGPT.

Findings revealed that risk, motivation and innovation factors were the key triggers of approach behaviors for ChatGPT. An intricate combination effect of the perceived risk, motivation and innovation characteristics was found, and the necessary predictors were determined.

The findings of this study will expand our current knowledge and offer practical insights for the development of ChatGPT in the hospitality and tourism sector.

This study makes a significant contribution to the existing literature by providing a nuanced understanding of the intricate interplay between the various factors that shape customer behavior in the context of technology adoption in hospitality and tourism studies.

Micro-businesses contribute to economic development by improving individual welfare. Women are the primary drivers and owners of such businesses in urban Ethiopia. The purpose of this study is to investigate the poverty status and determinants among women-owned micro-businesses.

The basic study units were women who owned micro-businesses. A sample of 384 women-owned micro-business was chosen using a stratified and systematic random sampling technique. Thirty-six participants were purposely chosen for in-depth interviews and focus group discussions. Questionnaires, in-depth interviews and focus group discussions were used to collect data. The poverty head count, poverty gap and poverty severity indices were computed to estimate poverty status. The major determinants of women’s poverty were investigated using a logistic regression model.

The overall poverty incidence, gap and severity were estimated to be 24.27%, 3.85%, and 1.11% respectively, among the women who owned micro-businesses. Eight of the 14 poverty determinants, including age, dependents, savings, remittance and the number of days and hours women work in their businesses, were found to have a significant effect on women’s poverty. The results suggest that local governments, technical and vocational training institutions should work together to reduce the impact of poverty-aggravating factors on women and increase the contribution of women-owned micro-businesses to poverty reduction.

This study addressed the poverty status of women who run micro-businesses, which is a crucial issue in Ethiopia’s urban context. It adds new knowledge to the issue of gendered economic participation, poverty reduction and poverty determinants in the Ethiopian context.

This paper aims to review the current status of wheat production, farming systems, production constraints and wheat demand-supply chain analysis; the role of international and national breeding programs and their approaches in wheat genetic improvement including targeting mega environments, shuttle breeding, doubled haploids, marker-assisted selection and key location phenotyping; and future prospects and opportunities of wheat production in Sub Saharan Africa (SSA).

Relevant literature works have been used and cited accordingly.

Though traditionally wheat was not the leading staple crop in SSA, it is becoming an important food crop because of rapid population growth associated with increased urbanization and change in food preference for easy and fast food such as bread, biscuits, pasta, noodles and porridge. In 2013, total wheat consumption in SSA reached 25 million tons with import accounting for 17.5 million tons at a price of USD6 billion, while during the same period the region produces only 7.3 million tons on a total area of 2.9 million hectares. The low productivity (2t/ha) in the region is principally because of abiotic (drought and heat) and biotic (yellow rust, stem rust, septoria and fusarium) stresses which are increasing in intensity and frequency associated with climate change. Furthermore, increased cost of production, growing populations, increased rural-urban migration, low public and private investments, weak extension systems and policies, and low adoption rates of new technologies remain to be major challenges for wheat production in SSA. Wheat breeding in SSA is dominantly carried out by National Agricultural Research Systems, in partnership with the international research centers [International center for improvement of maize and wheat (CIMMYT) and International center for agricultural research in the dry areas (ICARDA)], to develop high yielding and widely adapted wheat genotypes with increased water-use efficiency, heat tolerance and resistance to major diseases and pests. Most of the cultivars grown in SSA are originated from the international research centers, CIMMYT and ICARDA.

This paper will help to promote available wheat technologies in SSA by creating awareness to wheat scientists, extension agents and policymakers.

This manuscript is an original review paper which has not been published in this form elsewhere.

Ethiopia suffers from structural food insecurity due to its low food production, low purchasing power, and climatic shocks such as drought. Coffee is Ethiopia's primary source of foreign earnings, and 95% of it is produced by smallholder farmers. Coffee also provide better income to smallholder farmers than other crops. However, it is unclear how much smallholder coffee producers participate in cash savings and if their savings help them attain food security. In this study, the authors aim to assess the impact of cash savings on the food security of smallholder coffee farmers in Ethiopia.

Using cross-sectional quantitative data from 336 randomly selected households and qualitative data from the local community, this study examines the impact of cash savings on household food security. Logistic regression and propensity score matching models were used to analyze the impact of cash savings on households' food security.

About, 43.5% of coffee farmers did not participate in cash savings during the study period, while 50.6% had no access to credit. The major factors that limit households' likelihood of participating in cash saving were the gender of household head and family size. Approximately, 38.4 and 27.1% of coffee farmers were food poor based on calorie intake and consumption scores, respectively. Households' participation in saving increases their ability to meet dietary energy requirements and consume diverse foods.

To the knowledge of the author, empirical studies that examined the impact of cash saving on the food security status of smallholder farmers in the study area are limited. Therefore, this study brings original contribution and fills research gap on coffee farmers' cash saving and food security; that received little attention from previous researchers in Ethiopia.

This study aims to measure the status of rural household food security across regions using multidimensional indicators. It also aims to identify the determinants of rural household food security in Ethiopia.

The study adopted descriptive and explanatory designs. It used data from the fourth wave of the Ethiopian socioeconomic survey that has 3,115 respondents. The authors constructed household food security index using variables that capture availability, access, utilization and stability dimensions of food security. The authors categorized households into relative food security groups, namely, alarming and moderately food insecure, as well as moderately and highly food secure. Beta regression model, which is widely used to analyze response variables that assume values between 0 and 1, is used to estimate the determinants of food security.

The study finds that 77.7% of rural households are food insecure. Of this, 90% are moderately food insecure. Regional variations in magnitude of food security showed that Harari, Gambella and Benshanguel Gumuz regional states are relatively better-off than other regions in Ethiopia. The study identified sex, education level, marital status, location and wealth status of households as significant determinants of food security.

This study sheds light on regional variations in multidimensional food security in Ethiopia. It thus challenged previous estimates of food security using uni-dimensional indicator. It highlighted the need for region-specific analysis of determinants and a follow up of tailored regional interventions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0139

Climate change affects the geographic and seasonal range of malaria incidence, especially, in poor tropical countries. This paper aims to attempt to conceptualize the potential economic repercussions of such effects with its focus on Ethiopia.

The paper is conceptual and descriptive in its design. It first reviews existing literature and evidence on the economic burdens of malaria, and the impacts of climate change on malaria disease. It then draws the economic implications of the expected malaria risk under the future climate. This is accompanied by a discussion on a set of methods that can be used to quantify the economic effects of malaria with or without climate change.

A review of available evidence shows that climate change is likely to increase the geographic and seasonal range of malaria incidence in Ethiopia. The economic consequences of even a marginal increase in malaria risk will be substantial as one considers the projected impacts of climate change through other channels, the current population exposed to malaria risk and the country’s health system, economic structure and level of investment. The potential effects have the potency to require more household and public spending for health, to perpetuate poverty and inequality and to strain agricultural and regional development.

This paper sheds light on the economic implications of climate change impacts on malaria, particularly, in Agrarian countries laying in the tropics. It illustrates how such impacts will interact with other impact channels of climate change, and thus evolve to influence the macro-economy. The paper also proposes a set of methods that can be used to quantify the potential economic effects of malaria. The paper seeks to stimulate future research on this important topic which rather has been neglected.