The compensation system, employee motivation, and employee satisfaction have received much attention from academics for many years. Existing research, however, does not yet detail the mediation effect of employee motivation on the relationship between the entire compensation system and employee satisfaction. The study explores the influence of the compensation structure on employee satisfaction using employee motivation as mediation. This research embraced a quantitative design, positivism paradigm, deductive approach, and explanatory research. Cross-sectional data from 100 employees were drawn with a random sampling technique using a self-administered survey questionnaire. First, in sequence of analysis, descriptive statistics were conducted. After that, a reliability test was used to test internal consistency. Finally, a correlation test, direct effect, indirect effect, and total effect were used to test the hypotheses at the 0.05 level while analyzing the data. The findings show that the compensation system has a favorable impact on employee satisfaction by partially mediating motivation. Concurrently, this study establishes awareness intending to revise a robust compensation strategy so that employee morale, engagement will increase and turnover will reduce. The study outcomes will assist policymakers in improving the situation of the existing workforce in insurance companies and other financial companies in Bangladesh.

Uncertainties, ranging from environmental threats and health epidemics to political instability, financial crises, and technological advancements, can significantly alter business environments. When such changes occur, service organizations face various difficulties that hinder their sustainable organizational performance. Consequently, the study empirically examines the influences of technological capability (i.e., digitalization, big data analytics, and a data-driven culture) on service firms’ sustainable organizational performance (SOP), and in turn, the impact of SOP on organizational resilience (OR) via the moderation of innovation leadership. Drawing on the theoretical frameworks of the dynamic capability view (DCV) and flexible systems management (FSM), the proposed hypotheses were tested via survey data collected from 297 senior-level professionals in service organizations. The results of partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA), and fuzzy-set qualitative comparative analysis (fsQCA) revealed that technological capability significantly influences sustainable organizational performance, which in turn contributes to organizational resilience, particularly when innovation leadership is present. Thus, technological capability, as the foundation of a flexible system, enables rapid resource reconfiguration, real-time data-driven decision-making, and scalable operations. In doing so, it directly enhances sustainable organizational performance and indirectly supports organizational resilience, which is reinforced by innovation leadership. These insights advocate that service firms leverage technological capability and innovation-driven leadership to ensure sustainability and resilience in complex and uncertain environments while maintaining operational and managerial flexibility.

This study aims to examine the factors that affect organizational performance in the manufacturing industry of Bangladesh. This study identifies transformational leadership, human capital, and job satisfaction as significant determinants of organizational performance. The analysis focused on the employees of diverse manufacturing organizations in Bangladesh treated as the targeted population. The data collection was conducted using a survey methodology, wherein a questionnaire was distributed to the participants via postal mail along with a cover letter to enhance comprehension. The ultimate sample consisted of 294 participants, obtained from a pool of 400 individuals who were sent survey questionnaires. The response rate for the survey was 73.5%. Furthermore, a significance level of 5% was employed to assess the hypotheses, and the data pertaining to the research objective of this study were analyzed using SPSS software. The study results indicate that organizational performance is significantly influenced by transformational leadership, human capital, and job satisfaction. These three independent variables explain (R2) 59.6% variance in organizational performance. It is also found that transformational leadership (β-value = 0.443) has the highest impact on the organizational performance of manufacturing firms. This study provides implications for organizational management to improve long-term organizational performance.

This paper aims to identify the economic factors that significantly affect the demand for and supply of housing in three major cities in Turkey, such as Istanbul, Ankara, and Izmir. This study uses monthly data ranges from January 2010 to December 2020 because of the limited housing price data from each city. For smooth measurement, the logarithm of all data except measurements of nominal interest rate, real interest rate and inflation is used. This research uses the Co-integration Analysis and Vector Error Correction Model (VECM) to investigate the macroeconomic variables’ effects on the demand and supply. Mortgage credit volume, as a dependent variable, is influenced by real per capita GDP, real house prices, projected inflation, and nominal interest rates. On the contrary, the building site is used as a dependent variable on the supply side that is determined by the real housing price, the real interest rate, and the real cost of construction. In the VECM model, the mortgage credit volume and constriction cost were dominated by error correction variables, showing the adjustment of disequilibrium towards an equilibrium point. In the case of Ankara, supply-side variables have a long-term relationship. Both housing demand and supply-related factors have a long-term impact on the housing market in Istanbul and Izmir. Given a significant p-value, the coefficient of C1 derived from system equations is negative.

Biochar increases crop yield, soil reliability, and carbon sequestration. This study examined how biochar affected soil properties and tomato yield in saline soil. The experiment was conducted in areas surrounding Khulna Agricultural University and in farmers’ fields close to Khulna, Bangladesh. The experiment’s layout was a randomized complete block design (RCBD). Tomato cultivation with eight treatments and three replications used biochar with the recommended fertilizer dose (RFD). Using biochar in saline soil significantly influenced tomato growth and yield character. Days after planting, plant height was dramatically impacted by various biochar treatment levels. The height of tomato plants ranged from 65.38 to 46.37 cm, yielding 49.23 tons per hectare. The experiments used biochar treatments to grow more tomatoes than traditional fertilizers and a control treatment. Compared with control treatments, biochar also changed the properties of salty soil after it was harvested. The soil’s pH is 6.51 and its particle density is highest at 2.65. The control treatments had the highest EC value, which was 2800, and the biochar application treatments had the lowest EC values. At 100 s/cm, the EC value made the soil 0.6 ppt saltier in the control treatment without biochar, but adding biochar made the soil 0.1 ppt less salty. The percentages of carbon, nitrogen, and organic matter were also the highest that they had been (1.88%, 1.073%, and 2.58%, respectively). The phosphorus concentration in the soil was 19.47 g/g after harvesting. The majority of K and S values used to treat salty soils are interchangeable. Significant changes in tomato growth, yield, and soil properties occurred when biochar was combined with recommended fertilizer doses and applied to saline soil for tomato cultivation.