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This study aims to examine the effects of climate change and agricultural technologies on crop production in Vietnam for the period 1990–2018.

Several econometric techniques – such as the augmented Dickey–Fuller, Phillips–Perron, the autoregressive distributed lag (ARDL) bounds test, variance decomposition method (VDM) and impulse response function (IRF) are used for the empirical analysis.

The results of the ARDL bounds test confirm the significant dynamic relationship among the variables under consideration, with a significance level of 1%. The primary findings indicate that the average annual temperature exerts a negative influence on crop yield, both in the short term and in the long term. The utilization of fertilizer has been found to augment crop productivity, whereas the application of pesticides has demonstrated the potential to raise crop production in the short term. Moreover, both the expansion of cultivated land and the utilization of energy resources have played significant roles in enhancing agricultural output across both in the short term and in the long term. Furthermore, the robustness outcomes also validate the statistical importance of the factors examined in the context of Vietnam.

This study provides persuasive evidence for policymakers to emphasize advancements in intensive agriculture as a means to mitigate the impacts of climate change. In the research, the authors use average annual temperature as a surrogate measure for climate change, while using fertilizer and pesticide usage as surrogate indicators for agricultural technologies. Future research can concentrate on the impact of ICT, climate change (specifically pertaining to maximum temperature, minimum temperature and precipitation), and agricultural technological improvements that have an impact on cereal production.

To the best of the authors’ knowledge, this study is the first to examine how climate change and technology effect crop output in Vietnam from 1990 to 2018. Various econometrics tools, such as ARDL modeling, VDM and IRF, are used for estimation.

This article investigates the long-run impact of remittance inflows on agricultural productivity (AGP) in emerging Asian economies (Bangladesh, Sri Lanka, Malaysia, India, Nepal, Philippines, Pakistan, and Vietnam), employing a panel dataset from 2000 to 2018.

This study initially applies cross-sectional dependence (CSD), second-generation unit root, Pedroni, and Westerlund panel co-integration techniques. Next, it uses the augmented mean group (AMG) and common correlated effect mean group (CCEMG) methods to investigate the long-term impact of remittance inflows on AGP while controlling for several other important determinants of agricultural growth, such as cultivated area, fertilizers, temperature change, credit, and labor force.

The empirical findings are as follows: The results first revealed the existence of CSD and long-term co-integration between AGP and its determinants. Second, remittance inflows significantly boosted AGP, indicating that remittance inflows played a crucial role in improving AGP. Third, global warming (changes in temperature) negatively impacts AGP. Finally, additional critical elements, for instance, cultivated area, fertilizers, credit, and labor force, positively affect AGP.

This study suggests that policymakers of emerging Asian economies should develop an exclusive remittance-receiving system and introduce remittance investment products to utilize foreign funds and mitigate agricultural production risks effectively.

This is the first empirical examination of the long-term impact of remittance flows on agricultural output in emerging Asian economies. This study utilized robust estimation methods for panel data sets, such as the Pedroni, Westerlund, AMG, and CCEMG tests.

With the materialization of literature on strategic change, it is clear that organizational learning and organizational dynamism have been among the most notable areas of study. The purpose of this paper is to extend the literature on strategic management by examining the mediating effects of organizational learning and the moderating role of environmental dynamism on the relationship between strategic change and firm performance.

A survey questionnaire was administered to 650 respondents who were both corporate and business-level managers of 22 main deposit money banks (commercial banks) and their branches across the country. In total, 630 questionnaires were returned and 587 were used after following all the processes of data preparation. Path analysis was employed to test the hypotheses in this study using Smart PLS 3.

The study found a significant mediating effect of organizational learning on the relationship between strategic change and firm performance. Although no significant moderating role of environmental dynamism was found, the directions of the path coefficients are consistent with the hypothesis. All the relationships between the constructs are significant.

It is paramount for managers to understand the type of environment and learning that fits diverse kinds of strategic changes in order to improve firm performance. It is evident that changes that are not proactive and generative organizational learning may seem dangerous for a firm. However, organizations should learn to incorporate the change to be able to compete in a dynamic competitive environment.

Prior studies on strategic change, environmental dynamism and organizational learning have mainly focused on manufacturing and construction industries in the developed countries, but less has been done in the service sector, particularly the banking organizations in developing countries. Nigeria is one of those countries. Therefore, this study focuses on the links between strategic change and firm performance, moderating role of environmental dynamism and the mediating effect of organizational learning within the context of the Nigerian deposit money banks.

This research study proposes a feature-centric spam email detection model (FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The purpose of this study is to exploit the role of sentiment features along with other proposed features to evaluate the classification accuracy of machine learning algorithms for spam email detection.

Existing studies primarily exploits content-based feature engineering approach; however, a limited number of features is considered. In this regard, this research study proposed a feature-centric framework (FSEDM) based on existing and novel features of email data set, which are extracted after pre-processing. Afterwards, diverse supervised learning techniques are applied on the proposed features in conjunction with feature selection techniques such as information gain, gain ratio and Relief-F to rank most prominent features and classify the emails into spam or ham (not spam).

Analysis and experimental results indicated that the proposed model with sentiment analysis is competitive approach for spam email detection. Using the proposed model, deep neural network applied with sentiment features outperformed other classifiers in terms of classification accuracy up to 97.2%.

This research is novel in this regard that no previous research focuses on sentiment analysis in conjunction with other email features for detection of spam emails.

This paper first examines how changes in the real effective exchange rate and its volatility affect the exporting activities of firms. Next, it investigates whether exchange rate volatility (EXRV) affects the export behavior of financially constrained and unconstrained firms differently. Finally, it examines the role of financial development in mitigating the effects of EXRV and financial constraints on firms' exports.

The empirical analysis of the paper is based on a wide panel of Pakistani nonfinancial firms listed at the Pakistan Stock Exchange during the period 2001–2016. To mitigate the problem of endogeneity and to take into account the dynamic nature of the empirical model, the authors apply the robust two-step system-GMM estimator developed by Blundell and Bond (1998). To examine the role of credit constraints, firm-year observations are sorted as financially constrained and unconstrained based on the median value of three alternative measures: the liquidity ratio, the dividend payout ratio and the Whited and Wu (WW) index.

The results reveal that an increase in the real effective exchange rate has a positive and significant impact on firms' exports. However, the results show that the EXRV is significantly and negatively related to exporting decisions, suggesting firms considerably decrease their exports during periods of increased unpredictable variations in exchange rates. The findings also suggest that compared to financially constrained firms, the adverse effect of EXRV on exports is weaker for financially unconstrained firms. This finding implies that firm-level financial constraints unfavorably impact exports by making exporting more sensitive to the EXRV. Finally, the findings indicate that financial development not only positively affects firms' exports but also plays a vital role in declining the adverse effects of EXRV on firm-level exports. Specifically, the results show that financial development decreases the negative impact of EXRV on exports for both financially constrained and unconstrained firms. However, the moderating role of financial sector development is higher for financially unconstrained firms.

Notwithstanding that the authors present robust and strong empirical evidence of the effects of EXRV on exporting and on the role of both firm-level financial constraints and financial sector development in formulating these effects, there are some limitations of the study. The authors use a single proxy for measuring financial sector development. However, one may construct an index for the financial sector developed using principal component analysis (PCA) by considering different measures of financial development. The authors use three different measures of financial constraints. Nonetheless, more sophisticated techniques such as switching regression can be used to endogenously determine whether firms are financially constrained. Moreover, an examination of the asymmetric effects of EXRV on exporting across different industries would also be worthwhile.

From a policy point of view, the results suggest that the development of the financial sector and the strategies to lessen credit constraints faced by firms will help in mitigating the adverse effects of the EXRV on the exporting behavior of firms in Pakistan. The findings also suggest that managers in financially constrained firms should apply appropriate hedging strategies to hedge exchange rate risks. Finally, the findings suggest that investors should take into consideration exchange rate dynamics and firms' financial constraints while investing in exporting firms' stocks.

Since the findings suggest that financially constrained firms' exports are more exposed to EXRV, managers of such exporting firms are suggested to apply effective and suitable currency risk-minimizing hedging instruments for enhancing their exports. The government should also implement economic and financial policies in such a way that they should help in reducing volatilities of exchange rates and in turn, encouraging firms to export more. Definitely, any policy, at both government and firm level, favoring exporting and export-oriented growth will not only help in overcoming the problem of a persistent and wide trade deficit but also help society by providing more employment and investment opportunities.

Recently, Pakistan has experienced significant declines in foreign reserves, persistent political unrest and enlarged trade deficits. All these have increased the uncertainty about the exchange rate. Therefore, it is valuable to know the EXRV effects on firms' exporting activities. Second, Pakistani firms face more financial constraints, and thus, the influence of financial constraints in formulating the volatility effects on exporting would be worth exploring. Finally, no research has yet taken place to scrutinize the role of financial development in mitigating the adverse effects of EXRV and financial constraints on exporting activities. This paper provides firsthand empirical evidence on the role of financial constraints and financial sector development in formulating the EXRV impacts on firm-level exports in Pakistan.

Design cost overrun is one of the prominent factor that can impact the sustainable delivery of the project. It can be encountered due to a lack of information flow, design variation, etc. thereby impacting the project budget, waste generation and schedule. An overarching impact of this is witnessed in the sustainability dimensions of the project, mainly in terms of economic and environmental aspects. This work, therefore, aims to assess the implications of a technological process, in the form of building information modelling (BIM), that can smoothen the design process and mitigate the risks, thus impacting the sustainability of the project holistically.

The identified design risks in construction projects from the literature were initially analysed using a fuzzy inference system (FIS). This was followed by the focus group discussion with the project experts to understand the role of BIM in mitigating the project risks and, in turn, fulfilling the sustainability dimensions.

The FIS-based risk assessment found seven risks under the intolerable category for which the BIM functionalities associated with the common data environment (CDE), data storage and exchange and improved project visualization were studied as mitigation approaches. The obtained benefits were then subsequently corroborated with the achievement of three sustainability dimensions.

The conducted study strengthens the argument for the adoption of technological tools in the construction industry as they can serve multifaceted advantages. This has been shown through the use of BIM in risk mitigation, which inherently impacts project sustainability holistically.

The impact of BIM on all three dimensions of sustainability, i.e. social, economic and environmental, through its use in the mitigation of critical risks was one of the important findings. It presented a different picture as opposed to other studies that have mainly been dominated by the use of BIM to achieve environmental sustainability.

The purpose of this study is to investigate the association between knowledge sharing (KS) and innovative performance (IP) through the mediating effect of employee creativity (EC) in the manufacturing industries operating in Gujrat, Pakistan. KS among employees and its resultant IP is considered as a basic challenge faced by the manufacturing industries in Pakistan. The main motivation of the current study is to research this significant however neglected segment of the economy.

This quantitative study used deductive approach. Social exchange theory and resource-based view framework were used to predict relationships between EC, KS and IP. Data were collected through five-point Likert scale questionnaire from 158 managers including engineers and operational staff selected through convenient sampling. Regression analysis was performed using the Andrew Hayes Process macros in SPSS.

The results showed that there is a positive and significant effect of the KS on IP. Moreover, the mediation analysis showed that EC positively mediate the relationship between KS and IP.

The study target population is limited the single city where most of industries are located. This can be extended to other industrial areas of the country to increase reliability of the results.

The study holds a significant contribution to the understanding of the link between KS and IP by emphasizing the role of stimulating EC in organizations.

It was identified in the literature that there is a lack of studies in this context as current conceptual model has not been studied before in the context of emerging economies at large and very few studies conducted in case of developed countries with totally different institutional setup. To put forward the study by Lee (2018), this is the first study that investigates the mediation of creativity between KS and IP in emerging markets manufacturing industry.

Considering the importance of innovation in organizations and the formation of innovative behaviors (IBs) in the life of the organization, the authors study the effect of moderating social capital (SC) and gender in the link between knowledge sharing (KS), including sharing best practices and sharing mistakes with IB.

In this research, a random sampling method was used. A questionnaire was completed by 310 employees working in five prestigious companies in the energy sector located in Mashhad province, Iran.

The findings of the research indicate the influence of KS on IB. Also, SC moderates the effect of KS on IB. However, the moderating effect of gender was not significant, sharing best practices more likely to lead IB in women. Moreover, the men are more likely to show IB as they share their mistakes in comparison with women.

This research aims to break the black box on the link between employee KS and his/her own innovativeness, which is not frequently investigated. To the authors' best knowledge, there is a lack of deep empirical study that has delved into analyzing the impact of gender-groups and SC on this relation.

Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.

The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).

The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.

The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.

This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.

The purpose of the present research is to introduce a combined framework that integrates innovative work behavior, product innovation process and customer knowledge management; then, to explore the mediating effect of customer knowledge management in the relationship between innovative work behavior and the product innovation process.

The basis for the present research is a cross-sectional design. Data collection from 154 employees occurred using the following structured questionnaires: Customer Knowledge Management (CKM), Innovative Work Behavior (IWB) and Product Innovation Process (PIP). Data processing used SPSS version 26.0, including the PROCESS (3.5) macro analysis.

The results show positive relationships between innovative work behavior and the product innovation process (r = 0.420, p < 0.01). Pearson's correlation shows a coefficient of 0.42, meaning that 42% of the variations in perceived product innovation are due to variations in innovative work behavior. The second condition of the mediation test involved testing the relationship between the independent variable (Innovative Work Behavior) and the mediating variable (Knowledge Management) and showed a significant relationship (r = 0.272, p < 0.01). The findings suggested that knowledge management that other determinants supported, such as collaboration in idea exploration, idea championing and encouragement of participation in idea implementation, significantly contributed to the product innovation process (r = 0.509, p < 0.01). The bootstrapping method confirmed that innovative work behavior supports product innovation through the mediation of customer knowledge management (z = 3.01, p = 0.002).

The cross-sectional design, along with the relatively low number of participants and the self-reporting nature of the questionnaires, represent the current study's main limitations. Developing the research model could integrate new variables, such as customer co-creation processes, performance-based compensation, employee citizenship activities and transformational leadership.

This research has both theoretical and practical implications. These emphasize the importance of further investigation into the factors influencing companies' innovation processes. They also provide managers with a means of finding a fit between the deployment of customer knowledge mechanisms and the achievement of innovative workplace behavior, to improve innovation process efficiency.

The current study broadens the empirical research area of customer knowledge management and its impact on both innovative work behavior and the product innovation process, particularly in knowledge-intensive market scenarios that require organizations to be innovative.