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Crop suitability analysis is vital for identifying a piece of land’s potential for sustainable crop production and aids in the formulation of an effective agricultural management plan. This study aims to conduct crop suitability analysis of prominent Kharif (rice and maize) and Rabi (potato and wheat) crops in Sirajganj district, a flood-prone area of Bangladesh, and recommend a suitable cropping pattern to mitigate the detrimental effects of flooding.

Various factors such as soil drainage, soil depth, soil moisture, soil texture, soil permeability, soil pH, erosion hazard, nutrient status and flooding risk were considered for this study. For all four crops, the weights of each factor were determined using the analytical hierarchy process approach, and the scores of each subfactor were assigned on the basis of favorable circumstances of crop cultivation. Using the weighted overlay analysis in the ArcGIS 10.3 environment, the crop suitability maps were generated and were divided into four suitable classes. Geographic information system integration of crop suitability for all the crops determined the suitable cropping pattern of the study area in Kharif and Rabi seasons.

A vast portion of the study area covering 64.80% of the total land is suitable for cultivating either rice or maize in Kharif season followed by either potato or wheat in Rabi season. Other suitable cropping pattern for Kharif and Rabi seasons found in the study area are rice-wheat, rice-wheat/potato, rice/maize-wheat and rice/maize-potato, which covers a little portion of the study area.

This research validates the suitable location of crop cultivation on the basis of flooding occurrences in the locality.

Existing literature affirms that almost half of the young generation has remained unemployed worldwide. On the contrary civic engagement can be a powerful tool in combating this problem. However, the influencing factors that encourage the active participation of young adults yet to be identified. The purpose of this paper is to fill the research gap by creating and validating a research model by including three motives social presence commitment and online offline civic engagement.

The study took a quantitative approach to conduct a cross-sectional study. In total, 214 data were collected from the member of a Facebook group of Bangladesh named Foodbank, a restaurant review page through the online questionnaire. After that structural equation modelling techniques have been used to analyse the data, test the model validity and hypothesis.

The result shows that both commitment and social presence influence offline and online civic engagement. Excitement motives have a higher effect than information and convenience motive. Besides, 8 out of 10 hypotheses have shown significant results, with only the convenience motive not having any positive influence and effect on social presence and commitment.

Almost 47.6 out of 158.5 million are young people who are incapable of contributing fully to national development due to a lack of civic engagement. The outcome of this study will be useful for the Government of Bangladesh, as well as for non-governmental organisations and decision-making authorities to form assessments and develop policy on how to engage the young generation in civic activities to achieve further socio-economic development in the country.

This study contributes to existing literature with newly developed relationships between social presence-civic engagement and commitment-civic engagement. These unique relationships have been empirically tested and resulted insignificant. The study also identifies that it is vital to engage young people more in social works and increase their participation in offline and online activities.

This research develops a theoretical framework to understand the role of big data analytics capability (BDAC) in enhancing supply chain sustainability and examines the moderating effect of green supply chain management (GSCM) practices on this relationship.

Guided by the dynamic capability view (DCV), we formulated a theoretical model and research hypotheses. We used partial least square-based structural equation modeling (PLS-SEM) to analyze data collected from 159 survey responses from Bangladeshi ready-made garments (RMG).

The statistical analysis revealed that BDAC positively impacts all three dimensions of supply chain sustainability: economic, social and environmental. Additionally, GSCM practices significantly moderate the relationship between BDAC and supply chain sustainability.

This study makes unique contributions to the operations and supply chain management literature by providing empirical evidence and theoretical insights that extend beyond the focus on single sustainability dimensions. The findings offer valuable guidelines for policymakers and managers to enhance supply chain sustainability through BDAC and GSCM practices.

This study advances the current understanding of supply chain sustainability by integrating BDAC with GSCM practices. It is among the first to empirically investigate the combined effects of BDAC on the three dimensions of sustainability – economic, social and environmental – while also exploring the moderating role of GSCM practices. By employing the DCV, this research offers a robust theoretical framework highlighting the dynamic interplay between technological and environmental capabilities in achieving sustainable supply chain performance.

This article aims to analyze how gender and decision-making styles of Chief Executive Officers (CEOs) of Small and Medium Enterprises (SMEs) impact the financial performance of the firms they manage.

Data were obtained for 2017 for 185 SMEs in Chile, an emerging economy, including firm information, CEO's sociodemographic characteristics and CEOs' decision-making styles. Generalized Least Squares (GLS) models were estimated to explain the influence of gender and decision-making styles on firm performance, controlling for a series of covariates. To test whether gender moderates the effect of decision-making styles on firm performance, interaction terms were included. Furthermore, models were subject to several robustness procedures, with no significant differences in results.

The authors find evidence of significant relationships for both gender and the avoidant style. Likewise, the authors find evidence of interaction effects between gender and decision-making styles, particularly between gender and the dependent style.

Findings contribute to prior research by analyzing the relationship between CEO gender and SME performance in the context of a Latin American emerging economy; by providing evidence of the impact of decision-making styles on the financial performance of SMEs; and by examining how a specific decision-making style, namely the dependent style, operates differently according to CEO gender, shedding some light on its ambiguous character as described by prior research. For policymakers and authorities, findings indicate the importance of incorporating women to SMEs and supporting their way towards higher management.

Esta investigación analiza cómo el género y los estilos de toma de decisiones de los gerentes generales (CEOs) de las pequeñas y medianas empresas (PYMEs) impactan en el desempeño financiero de las empresas que administran.

Se obtuvieron datos del año 2017 para 185 PYMEs ubicadas en Chile, una economía emergente, incluyendo información de la empresa, así como características sociodemográficas y estilos de toma de decisiones de los gerentes generales. Se estimaron modelos de Mínimos Cuadrados Generalizados (GLS) para explicar la influencia del género y los estilos de toma de decisiones en el rendimiento de la empresa, controlando por una serie de covariables. Para determinar si el género modera el efecto de los estilos de toma de decisiones en el rendimiento de la empresa, se incluyeron términos de interacción. Además, los modelos fueron sometidos a varios procedimientos de robustez, sin encontrar diferencias significativas en los resultados.

Los autores encuentran evidencia de relaciones significativas tanto para el género como para el estilo evitativo. Asimismo, los autores encuentran evidencia de efectos interacción entre el género y estilos de toma de decisiones, particularmente entre el género y el estilo dependiente.

Los hallazgos contribuyen a investigaciones anteriores al analizar la relación entre el género del CEO y el rendimiento de las PYMEs en el contexto de una economía latinoamericana emergente; al proporcionar evidencia del impacto de los estilos de toma de decisiones en el rendimiento financiero de las PYMEs; y al examinar cómo un estilo de toma de decisiones específico, a saber, el estilo dependiente, opera de manera diferente según el género del CEO, esclareciendo su carácter ambiguo tal como ha sido descrito en investigaciones anteriores. Para las autoridades y los responsables de políticas, los hallazgos indican la importancia de incorporar mujeres a las PYMEs y apoyarlas en su ascenso hacia la alta administración.