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Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This study aims to address this problem with a novel mathematical model.

In this research, a bi-objective mixed-integer linear programming model is developed to tackle pre-positioning and distributing relief items, and it is formulated as an integrated location-allocation-routing problem with uncertain parameters. The humanitarian supply chain consists of relief facilities (RFs) and demand points (DPs). Perishable and imperishable relief commodities (RCs), different types of vehicles, different transportation modes, a time window for delivering perishable commodities and the occurrence of unmet demand are considered. A scenario-based game theory is applied for purchasing RCs from different suppliers and an integrated best-worst method-technique for order of preference by similarity to ideal solution technique is implemented to determine the importance of DPs. The proposed model is used to solve several random test problems for verification, and to validate the model, Iran’s flood in 2019 is investigated as a case study for which useful managerial insights are provided.

Managers can effectively adjust their preferences towards response time and total cost of the network and use sensitivity analysis results in their decisions.

The model locates RFs, allocates DPs to RFs in the pre-disaster stage, and determines the routing of RCs from RFs to DPs in the post-disaster stage with respect to minimizing total costs and response time of the humanitarian logistics network.

Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.

This study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.

This study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.

Empirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.

The accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.

This is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.

The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan.

The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare.

The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being.

This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

This paper aims to examine the influence of financial inclusion (FI) on poverty, income inequality and financial stability from the perspective of public good (PG) theory in developing countries.

This study applies the fixed effects model (FEM), pooled ordinary least square (OLS) regression and generalized method of moment (GMM) across panal data of 69 developing countries from 2002 to 2020 inclusive.

Multiple regression analyses show that FI reduces poverty and income inequality while improving financial stability. Secondary enrolment ratio, GDP per capita, and trade openness reduce poverty and income inequality. However, a higher inflation rate increases poverty and income inequality while reducing financial stability. Finally, age dependency ratio and population do not affect poverty, income inequality or financial stability.

The regulators and policymakers in developing countries should raise the level of formal FI by expanding the size of the formal financial sector and improving the access of the large unbanked population to financial products/services. Improving FI enables the unbanked population to take over productive activities and ease consumption, which in turn complementing economic growth.

The increase in FI enables the developing countries to include the financially excluded population through formal financial products and services, which improve financial stability and eradicate poverty and income inequality in society. Thus, the FI enhances the social welfare of society.

This is the first study that examines the impact of FI poverty, income inequality and financial stability in the context of developing countries. This study contributes to the theoretical implications of the PG theory by examining the influence of FI on poverty, income inequality and financial stability in the context of developing countries.

Studies show that supervisor incivility can have detrimental consequences for subordinates. However, little is known about the job and personal resources that can reduce the effect of supervisor incivility on subordinates' counterproductive work behavior (CWB). Based on the Job Demand-Resources (JD-R) model, we investigate social job crafting (job resource) and internal locus of control (LOC; personal resource) as buffers on the relationship between supervisor incivility and subordinates' CWB toward the organization.

Two field studies to test our proposed hypotheses were conducted. A two-wave time-lagged design was used and data was collected from 115 supervisors and 318 subordinates from a large electricity provider company (study 1) and 121 employee–coworker dyads from a large insurance company (study 2).

Across the two studies it was found that supervisor incivility positively relates to subordinates' CWB toward the organization. Further, this relationship was weaker for individuals with high internal LOC and those who engaged in social job crafting.

The findings are helpful for HR managers to figure out how to stop supervisor incivility through civility training and motivating employees to social job crafting behavior.

This study implies that social job crafting (job resource) and internal LOC (personal resource) are essential factors that can reduce the effects of supervisor incivility on subordinates' CWB toward the organization.

Trade centers are operationally run by a property manager as a delegate of the property owner. The dimensions of service quality (SERVQUAL), which include tangibles, assurance, empathy, reliability and responsiveness, are vital to be implemented as the duties of property managers when providing service to tenants to maintain tenant satisfaction and property reputation. This study aims to understand the effects of the SERVQUAL dimensions, the role of property management and the quality of rental value on tenant satisfaction and property reputation.

The sample was gathered using the purposive sampling technique with the criteria of being a tenant and kiosk owner in trade center properties in Surabaya. Data were gathered using questionnaires, from which 100 respondents were acquired. It was then analyzed using the partial least square structural equation model (SEM) in the SmartPLS 3.0 program to test the hypothesis.

The results of this study prove that the SERVQUAL dimensions – assurance, empathy and responsiveness – significantly influence tenant satisfaction with the mediating variable of the role of property management. Moreover, the SERVQUAL dimensions – empathy, reliability and responsiveness – significantly influence property reputation with the mediating variable of the role of property management.

Property managers are expected to proactively map out different service measures related to the dimension of satisfaction by conducting service training programs for their employees. In fact, in the post-pandemic period, property managers require new marketing strategies, such as leaseback, to effectively carry out renovations of the trade center’s public facilities and restructure the tenant mix.

Trade centers as trading areas experience management limitations because of the prohibition of mass gatherings during the COVID-19 pandemic, resulting in a limited number of onsite trading. Tenants who have entered into a long-term contract experience loss and rely on the aid of property management to survive. The role and quality of service of property management influence tenants’ satisfaction post-COVID-19 pandemic.

This paper aims to probe the prevailing belief that engaging in innovative work behavior (IWB) will invariably lead to favorable outcomes. To do so, the paper integrates followership theory and cognitive dissonance theory to investigate the connection between employees’ IWB and despotic leadership, and the mediating role of interpersonal conflict with the supervisor in this connection. Moreover, the moderating impact of the supervisor’s dispositional resistance to change trait on the direct and indirect relationship between IWB and despotic leadership is explored.

The data were collected through a multi-wave survey of 350 employees and 81 supervisors working in 81 public schools.

The findings show that IWB has a positive and significant relationship with despotic leadership, and this relationship is mediated by interpersonal conflict with the supervisor.

To the best of the authors’ knowledge, this is the first study that examines the link between IWB and despotic leadership via interpersonal/dyadic conflict and explores the moderating effect of leadership dispositional resistance to change trait in this indirect relationship.