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While climate change research has focused mainly on primary agriculture, evidence shows that Agro‐processing enterprises also face climate risks affecting resource availability and use. Using Partial Least Squares‐Structural Equation Modelling (PLS‐SEM), this study analysed how socio‐demographic factors (sex, age, marital status, education, and training) influence participation in agro‐enterprises and climate adaptation strategies among 113 agro‐processing enterprises in Gauteng, South Africa. Results show that direct participation in Agro‐processing does not significantly predict adaptation ( β = 0.025), indicating profit‐driven rather than resilience‐oriented engagement. Education significantly enhances participation in Agro‐processing ( β = 0.325, 95% CI = [0.196, 0.457]) and adaptation ( β = 0.325, 95% CI = [0.168, 0.477]), with a positive indirect effect ( β = 0.106, 95% CI = [0.049, 0.173]). Sex negatively predicts participation ( β = –0.181), showing higher female involvement, while other variables were insignificant. Policy interventions should integrate climate education, targeted training, and capacity‐building initiatives to strengthen resilience among Agro‐processing enterprises.

To clarify changes of discharge (Q) and sediment yield (SSY) during flood events provide critical insights for flood disaster prevention and control. However, our understanding of the long‐term variations and driving factors of Q‐SSY relationships during flood events remains limited. This study examined the variations in Q, SSY, and sediment rating curves (SSY = aQb) during maximum one, three, and five flood events (ranked by peak discharge) across 15 catchments in the China's Loess Plateau during 1956–2019. We used the partial least squares‐structural equation modeling (PLS‐SEM) to quantitatively decouple the effects of driving factors (precipitation, soil, vegetation, topography, and soil and water conservation measures (SWCMs)) on Q‐SSY relationships. There was a significant declining trend in both Q and SSY during flood events across catchments, but their contributions to annual SSY significantly increased by 41.48%, underscoring the critical role of floods in sediment transport. The Q‐SSY relationship during flood events became weakened over time, with coefficient a decreased and index b increased. The five driving factors explained 44%–49% of the changes in coefficient a and 36%–51% in index b. Significant direct effects of vegetation (path coefficient (β) = −0.921) and precipitation (β = 0.616) on coefficient a were observed (p < 0.05). Index b was principally dominated by SWCMs and vegetation, and the effects diminished with increase in number of flood events. These findings highlight the importance of vegetation cover and SWCMs in mitigating sediment transport, offering valuable insights for sediment management strategies in the Loess Plateau and similar regions. Key Points The contribution of flood events to annual sediment yield (SSY) increased despite an overall decrease in SSY during 1956–2019 Coefficient a of sediment rating curve (SSY = aQb) decreased while b increased across the study period Vegetation and soil and water conservation measures exerted the largest influence on a and b, respectively

The hotel industry is growing rapidly in developing countries due to an increase in the tourism industry; however, on the other hand, the hotel industry is one of the sectors largely increasing the burden on the environment. Therefore, due to the massive number of environmental issues that hotel industry has encountered, there is an increasing force to pay a correct reaction to environmental issues and executing sustainable business practices such as the adoption of green human resource management (HRM) practices provide a win–win situation for the organization and its stakeholders. It, therefore, signals the need to examine how green HRM practices will enhance the environmental performance in the hotel industry. Grounded by resource-based view theory, this study utilized a research model examining the relationship between green HRM practices (green recruitment and selection, green training and development, green performance appraisal, and green compensation) and environmental performance in Malaysia’s hotel industry. Questionnaires were distributed to human resource (HR) managers/ executives in 3-, 4- and 5-star hotels in Malaysia. A total of 206 hotels participated in the study. The data collected were analysed using partial least squares structural equation modelling. Based on the analysis, the study revealed that green recruitment and selection, green training and development, and green compensation have a meaningful relationship with environmental performance, while green performance appraisal did not have a significant relationship with environmental performance. Our results extend previous research by not only highlighting the importance of green HRM practices in driving environmental performance but also indicating how each dimension of green HRM practices either enhances or inhibits environmental performance. This is the first empirical research that investigates the relationship between green HRM and environmental performance in the hotel industry literature.

Telework has become a very popular arrangement that has grown rapidly worldwide, most recently due to the COVID-19 pandemic. It is important to deepen our knowledge about the performance of companies and employees in the context of telework because the results of previous studies are contradictory. The present study examines the relationship among telework, job performance, work–life balance (WLB) and family supportive supervisor behaviour (FSSB) in the context of COVID-19. The data ( N = 519), which are collected from large private service companies in Colombia during the COVID-19 pandemic, are analysed using partial least squares structural equation modelling (PLS-SEM). The results do not indicate a correlation between telework and job performance or WLB in the context of the pandemic. However, positive relationships are found between job performance and both FSSB and WLB, and between FSSB and WLB. The findings help us to understand both the importance of WLB and FSSB for teleworkers and the way these factors impact job performance. The present results could help companies design strategies for the implementation of telework after COVID-19.

Purpose This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to combine symmetric and asymmetric perspectives in model evaluation, in the hospitality and tourism field. Design/methodology/approach This study discusses PLS-SEM as a symmetric approach and fsQCA as an asymmetric approach to analyze structural and configurational models. It presents guidelines to conduct an fsQCA based on latent construct scores drawn from PLS-SEM, to assess how configurations of exogenous constructs produce a specific outcome in an endogenous construct. Findings This research highlights the advantages of combining PLS-SEM and fsQCA to analyze the causal effects of antecedents (i.e., exogenous constructs) on outcomes (i.e., endogenous constructs). The construct scores extracted from the PLS-SEM analysis of a nomological network of constructs provide accurate input for performing fsQCA to identify the sufficient configurations required to predict the outcome(s). Complementing the assessment of the model’s explanatory and predictive power, the fsQCA generates more fine-grained insights into variable relationships, thereby offering the means to reach better managerial conclusions. Originality/value The application of PLS-SEM and fsQCA as separate prediction-oriented methods has increased notably in recent years. However, in the absence of clear guidelines, studies applied the methods inconsistently, giving researchers little direction on how to best apply PLS-SEM and fsQCA in tandem. To address this concern, this study provides guidelines for the joint use of PLS-SEM and fsQCA.

Drones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

Purpose Most of the previous studies agree about the significance of user satisfaction in ensuring the endurance of information systems (ISs). Accordingly, it is crucial to investigate the effect of e-Government systems on individual end-user satisfaction as more and more countries adopt and deploy such Government Financial Management Information Systems (GFMIS) in the era of digital transformation. Because of this, the purpose of this study is to investigate the factors that contribute to the success of GFMIS in Jordan and ultimately the satisfaction of its users. Design/methodology/approach The IS success model developed by DeLone and McLean (2003) serves as the theoretical underpinning for the current research. Adding training quality as a new variable to the proposed model has been found to further increase the satisfaction of GFMIS users. A total of 104 GFMIS users in Jordan provided the data used to verify the model. The partial least squares-structural equation modelling was used to test the hypotheses. Findings The empirical findings indicated that GFMIS user satisfaction is significantly affected by information quality, service quality and perceived usefulness; meanwhile, system quality is only partially supported. The research also showed that the level of satisfaction among Jordanian GFMIS users was related to the quality of training they received. Originality/value This study fills a crucial literature gap by developing a research model that can help improve GFMIS usage towards attaining greater performance amongst government agencies in Jordan.

PurposeThe development of Information Systems (IS) and Information and Communication Technologies (ICT) is offering new opportunities for businesses to implement promotion strategies focused on customer attraction and retention. In this sense, mobile coupon usage has increased as a promotion tool, especially in the fast-food sector. However, the use by consumers of these coupons is not homogeneous and it is conditioned by prior experience. Thus, this study aimed to examine variations between Fast Food Restaurant (FFR) customers based on their prior experiences with the use of mobile coupon (expert vs novice users).Design/methodology/approachA sample of 400 fast-food customers was collected using a structured questionnaire. In order to compare the proposed relationships between expert and novice users, a multigroup approach was applied through new, recently proposed evaluation procedures designed for PLS–SEM.FindingsThe results show that the two groups of consumers (expert vs novice users) have notable differences regarding the relationship between perceived ease of use and perceived usefulness. This relationship was the strongest in both groups. However, there are no differences found in other aspects considered as antecedents to mobile coupons usage, for instance, usage intention and attitude.Practical implicationsThis work emphasises the importance of considering differences based on experience between mobile coupon users. Ease of use, perceived consumer utility and increased mobile coupons in apps can be the key to driving effective business strategies based on promotional tactics by FFRs. Likewise, this study can help other researchers in their empirical applications of PLS–SEM analysis.Originality/valueThis study is the first to provide an in-depth analysis of differences based on users' experience with mobile coupons at FFRs. It is innovative in its introduction of the consumer's coupon proneness variable.

As agropreneurs of fresh fruits and vegetables are important contributors to the economy, supply chain risk management is vital for their survival and growth. Therefore, this study examined the mediating effect of supply chain risk management in reducing the impact of supply chain risks and increasing supply chain performance among small scale agropreneurs in Malaysia. It also evaluated the moderating role that knowledge management plays between supply chain risks and supply chain risk management. SmartPLS 3.0 (PLS-SEM), which uses partial least squares structural equation modelling, was utilised to test the framework. Data from 430 fresh fruit and vegetable agropreneurs in the five most productive Malaysian states were collected using a questionnaire. The results confirmed (1) a negative correlation between supply chain risks and supply chain performance (2) that supply chain risk management mediates the relationship between supply chain risks and supply chain performance, and (3) that knowledge management moderates the relationship between supply chain risks and supply chain performance. Therefore, these findings could help government institutes and agropreneurs associations better appreciate the value of supply chain risk management due to its positive effect on the overall performance of agropreneurships.