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Many entrepreneurs often struggle with the fear of failure, which can be detrimental to both their business and personal well-being. To better understand the factors that contribute to this fear, the authors conducted research on the impact of various obstacles, such as limited financial resources, risk aversion, stress and hard work avoidance, and prior business failures. Additionally, the authors explored the effects of social capital in mitigating these obstacles and their relationship to fear of failure in entrepreneurship.

The authors conducted a survey with 440 young Iraqi entrepreneurs using non-probabilistic and purposive methods. The survey instrument included multiple measuring scales, which were provided in both English and Arabic. The authors analysed valid responses using structural equation modelling (SEM) with partial least squares (PLS).

The findings show that the fear of failure in entrepreneurship is negatively influenced by factors such as limited financial access, risk aversion, and past business failures. However, aversion to stress and hard work did not have a significant impact. The findings also show that social capital could potentially mitigate these negative factors.

The theoretical and practical implications of this study manifest in revealing the difficulties entrepreneurs encounter in developing countries like Iraq, where entrepreneurship is vital for economic growth. The study's limitations stem from its focus on one country and the use of a single survey method. Future research could use varied methods across multiple countries for a more comprehensive view.

This study sheds light on the factors that are obstacles for entrepreneurs to starting a business in emerging economies like Iraq.

Petroleum companies have various goals in light of high energy prices, uncertainty and potential fluctuations in demand in the current digital age, including making a profit while maintaining long-term sustainability and lowering their environmental impacts. The purpose of this paper is to explore the impact of technology management (TM) and its practices through process and maintenance technologies on sustainability performance (SP) for petroleum refineries and petrochemical companies in terms of economic, environmental and social sustainability.

A new proposed framework has been developed for a clearer understanding in relation to these aspects. The study was conducted among Egyptian refineries and petrochemical companies. A structured questionnaire was used to collect data from 65 petroleum experts and professionals, which was then summarized using statistical analysis, hypothesis testing and regression analysis.

The findings demonstrate that TM has a significant and direct impact on SP. Furthermore, the study shows that process technology (PT) has a positive influence on the three aspects of SP. Although maintenance technology has a positive impact on economic and environmental sustainability, it shows no direct effect on social sustainability.

The degree to which TM and sustainability principles are implemented across petroleum companies in various countries varies significantly because of managerial and cultural dimensions. Therefore, when conducting the research, it is important to consider the study’s geographical area to comprehend how these practices are impacted by the distinctive managerial and cultural settings of each country. Also, respondents in developing countries do not participate in such surveys with much enthusiasm.

The study shows that implementing TM practices generates more economic stability and ensures environmental and social sustainability. The research studied how PT and maintenance practices affected each aspect of sustainability. These findings can apply to all downstream oil companies, regardless of their size or type of operations. Further research can be conducted to examine the relationship between variables in other industries.

Decision-makers and managers may use the study's findings to improve their companies' performance and develop new plans and policies. The results demonstrate that companies will have a greater chance of achieving sustainable performance if they incorporate process and maintenance technologies into their activities. Besides economic and environmental sustainability, petroleum companies must strive for social sustainability.

The study is regarded as a significant contribution to the management of petroleum refineries and petrochemical companies, as it combined TM practices with SP in a single research framework. Industry executives and researchers can use this research as a guide that can be applied to all petroleum companies in the same country.

Food SMEs is the backbone of local and world economy. Even while food SMEs are aware of the potential advantages of implementing supply chain analytics (SCA), only a small number of companies use data-based decision-making. This is because of technophobia. In light of this, the purpose of this study is to investigate the factors that have an impact on SCA adoption which in turn influence the sustainable performance of firms.

The data were collected from 221 managers working in food-related SMEs in China by using a questionnaire-based survey. The framework of this study was validated using a rigorous statistical procedure using the technique, namely, partial least squares structural equation modelling.

The findings of this study suggest that all modified UTAUT components (i.e. performance expectancy, effort expectancy, social influence, facilitating conditions and technophobia) significantly influence SCA adoption. Moreover, the existing study highlights and confirms the significance of adopting SCA to improve sustainable performance.

This research is novel, as it extends and investigates the theoretical framework based on UTAUT theory in SCA context and its impact on sustainable organizational performance. In addition, the factor of technophobia is tested in SCA context. This study has several contributory managerial implications for food SMEs.

The purpose of this paper is to investigate the effect of inclusive leadership on team climate. Drawing on the social exchange theory (SET), this study proposes a theoretical model in which (1) inclusive leadership enhances team climate, (2) the moderating effect of team power distance and trust in leadership in the relationship between inclusive leadership and team climate.

A quantitative research method was applied, with a survey of 247 Nigerian employees nested in 59 teams in multiple small manufacturing firms across diverse industries widely distributed into textile, furniture, bakery and palm oil production firms. The partial least square structural equation modelling was used to test the study's proposed hypotheses.

The results revealed that inclusive leadership has a positive and direct effect on team climate. Also, this study found that (1) team power distance positively influences the relationship between inclusive leadership and team climate; and (2) trust in leadership positively influences the relationship between inclusive leadership and team climate.

This study affirms the explanatory power of SET to investigate inclusive leadership and team climate at the team level. Also, the study utilised the SET to confirm the significance and value of team power distance and trust in leadership in the relationship between inclusive leadership and team climate at the team level in the Nigerian context.

The paper examined the relationship between inclusive leadership and team climate with team power distance and trust in leadership as moderators. The findings suggest that inclusive leadership play a paramount role in understanding team climate among small manufacturing firms. Moreover, the findings can be applied in organisations by creating different assessment mechanisms, e.g. webinars and training sessions, to encourage effective inclusive leadership behaviours in fostering a team climate for creativity and innovation.

The main contribution of this current research to knowledge is on the examination of the distinctive leadership style that influences team climate. The study indicates that when team members are allowed to fully contribute to the team, inclusion is promoted among group members, and trust in leadership is strengthened, which increases their perception of team climate within organisations.

This study examines the impact of inclusive leadership on two important work outcomes, i.e., employee performance and well-being. In order to better understand the above relationships, this study theorizes that employee psychological capital is a mediating mechanism and family motivation is a moderating mechanism.

The authors collected 370 responses in three different time waves with an interval of one week. All the constructs of the study were rated by employees except for the supervisor’s family motivation, which was rated by their supervisors. Given the predictive nature of the study, partial least squares structural equation modeling (PLS-SEM) was used for data analysis.

The authors' findings confirm the mediating role of employee psychological capital in the relationship between inclusive leadership and employee performance and in the relationship between inclusive leadership and employee well-being. The moderating effects of supervisor family motivation in the relationship between inclusive leadership and employee performance were also significant; however, the authors did not find empirical support for the moderating effects of family motivation in the relationship between inclusive leadership and employee well-being.

Drawing on the conservation of resources (COR) theory, the present study extends the authors' understanding of the unique ways in which inclusive leadership improves employee performance and benefits their well-being.

This study aims to examine the effectiveness of individual dynamic capabilities (DC) constructs and whether they had comparable effects on a company’s competitiveness in market turbulence (MT). This study used quantitative methods to determine how the DC elements, sensing, learning, integrating and coordinating, influenced competitiveness, with the moderating role of MT during a real-time crisis.

Survey data was gathered from 426 tourism small and medium-sized enterprises (TSMEs) in the United Arab Emirates and analyzed quantitatively.

The study found that not all DC constructs were equally important in promoting competitiveness. TSMEs’ survival depended more on sensing and integrating capabilities than learning and coordinating capabilities, and on how these capabilities were used by managers or owners of TSMEs. The study found no moderation effect of MT.

The generalizability of the results was hindered by the study’s focus on TSMEs in a single geographic location. The reasons for lack of proper mobilization of DCs constructs were not explored, but the data on the relative efficacy of DC constructs during a crisis significantly contributed to the literature.

This study emphasized ways that companies could improve firm competitiveness during a crisis by deploying DCs to optimize operations. The implications for research, practical aspects and limitations are presented and discussed.

The purpose of this study, the nonlinear relationship between the real estate market and the stock market was investigated in Iran. For this intent, the monthly data from 2012:4 to 2022:5 is used.

In this study, the quantile-on-quantile estimation method is used, which is a combination of the nonparametric estimation methods and the quantile regression.

The research results show that, in the low quantiles, the effect of stock market return on the housing market return is negative or zero. In fact, in this situation, the increasing returns in the stock market will shift part of the financial resources of the economy to the market and create stagnation or even negative returns in the housing market. This situation is seen more strongly in some other quantiles, including the 0.25 and 0.75 quantiles; in contrast, the effect of high quantiles of stock market returns is positive on the housing market.

It seems that the demand in the housing market increase in a situation where the returns of the stock market are growing, and the market is in a bullish condition, and this causes an increase in the price and returns in this market. In addition, the results show that the effect of stock market returns on capital market returns is asymmetric and nonlinear.

The purpose of this paper is to identify the factor structure of safety culture construct among engineering students at university context and to examine the measurement invariance of this instrument across different socio-demographic groups in a sample of engineering students in the United Arab Emirates (UAE).

An exploratory online questionnaire was completed by 770 undergraduate and postgraduate engineering students across the UAE. Data were analyzed using a diversified multi-group and a robust and sophisticated cross-validation testing strategy. Confirmatory factor analysis (CFA) was used to test factor structures identified in previous studies. Multi-group invariance testing was conducted to determine the extent to which factor structure is comparable across groups (i.e. gender, educational and experiential background).

Three-factor model was preferred for its parsimony. The results showed that the level of safety awareness and attitude is relatively satisfactory, whereas safety behaviour is inadequate. No significant difference was showed in multi-group invariance between demographic groups.

This research is a cross-sectional study and limited to the views of engineering students (informal group). The study would benefit from both informal and formal groups in assessing safety culture at university for a robust empirical evidence. The research highlights relevant implications for policy and program development, by pointing to the need to promote safety culture and mitigate safety-related accidents among engineering students.

This paper offers insight into benefit of understanding the level of safety culture among engineering students and extend knowledge of informal group involvement in safety-related accidents at university level.

A growing body of evidence points to the influence of location and allocation decisions on the structure of healthcare networks. The authors introduced a three-level hierarchical facility location model to minimize travel time in the healthcare system under uncertainty.

Most healthcare networks are hierarchical and, as a result, the linkage between their levels makes it difficult to specify the location of the facilities. In this article, the authors present a hybrid approach according to data envelopment analysis and robust programming to design a healthcare network. In the first phase, the efficiency of each potential location is calculated based on the non-radial range-adjusted measure considering desirable and undesirable outputs based on a number of criteria such as the target area's population, proximity to earthquake faults, quality of urban life, urban decrepitude, etc. The locations deemed suitable are then used as candidate locations in the mathematical model. In the second phase, based on the proposed robust optimization model, called light robustness, the location and allocation decisions are adopted.

The developed model is evaluated using an actual-world case study in District 1 of Tehran, Iran and relevant results and different sensitivity analyses were presented as well. When the percentage of referral parameters changes, the value of the robust model's objective function increases.

The contributions of this article are listed as follows: Considering desirable and undesirable criteria to selecting candidate locations, providing a robust programming model for building a service network and applying the developed model to an actual-world case study.

The purpose of this study is to identify and prioritize capabilities and practices to ensure a resilient supply chain during an unexpected disruption. In addition, this study ranks maturity factors that influence the main capabilities identified.

This paper is conducted in three stages. First, capabilities and practices are extracted through a literature review. Second, capabilities and practices are ranked using the analytical hierarchical process method. Third, a gray technique for order preference by similarity to ideal solution method is used to rank maturity factors influencing capabilities.

The findings indicate that responsiveness, readiness, flexibility and adaptability are the most important capabilities for supply chain resilience. Also, commitment and communication are the highest maturity factors influencing resilience capabilities.

The findings provide a hierarchical vision of capabilities and practices for industries to increase resilience. Limitations of the paper are related to capabilities, practices and number of experts consulted.

This paper highlights the importance of high-maturity practices in resilience capability adoption. The findings of this study will encourage decisions-makers to increase maturity practices to build resilience against disruption.

The paper reveals that developing powerful capabilities, good practices and a high level of maturity improve supply chain resilience.