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Property management companies in residential properties are increasingly using ICT and specific property management software applications to conduct daily property management tasks. However, the benefits of using specific software applications and how it can add value to property management companies are largely unexplored. The present study examines the impact of property management mobile applications usage features on strata property residents' satisfaction in Kuala Lumpur.

A total of 205 residents from 3 strata residential buildings in Kuala Lumpur using property management applications were surveyed. The study employed structural equation modelling using SPSS Amos software.

The findings suggest that visitor management and security management via software applications positively influence the residents' satisfaction. However, facility management via software application was found to be negatively affecting residents' satisfaction.

The study highlighted the benefit of property managers adopting property management software to achieve increased residents' satisfaction in strata residential properties.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.