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Since conducting agile strategies provides sustainable passenger satisfaction and revenue by replacing applied policies with more profitable ones rapidly, the focus of this study is to evaluate agile attributes for managing low-cost carriers (LCCs) operations by means of resources and competences based on dynamic capabilities built on resource-based view (RBV) theory and to achieve sustainable competitive advantage in a volatile and dynamic air transport environment. LCCs in Turkey are also evaluated in this study since the competition among LCCs is high to gain market share and they can adapt quickly to all kinds of circumstances.

Two well-known Multi-Criteria Decision-Making Methods (MCDM) named as the Stepwise Weight Assessment Ratio Analysis (SWARA) and multi-attributive border approximation area comparison (MABAC) methods by employing Picture fuzzy sets (PiFS) are employed to determine weight of agile attributes and superiority of LCCs based on agile attributes in the market, respectively. To check the consistency and robustness of the results for the proposed approach, comparative and sensitivity analysis are performed at the end of the study.

While the ranking orders of agile attributes are Strategic Responsiveness (AG1), Financial Management (AG4), Quality (AG2), Digital integration (AG3) and Reliability (AG5), respectively, LCC2 is selected as the best agile airline company in Turkey with respect to agile attributes. SWARA and MABAC method based on PiFS is appropriate and effective method to evaluate agile attributes that has important reference value for the airline companies in aviation industry.

The findings of this study will support managers in the airline industry to conduct airline operations more flexibly and effectively to take sustainable competitive advantage in unexpected and dynamic environment.

To the author' best knowledge, this study is the first developed to identify the attributes necessary to increase agility in LCCs. Thus, as a systematic tool, a framework is developed for the implementation of agile attributes to achieve sustainable competitive advantage in the airline industry and presented a roadmap for airline managers to deal with crises and challenging situations by satisfying customer and increasing competitiveness.

The purpose of this paper is to form propositions about the relationship between top management team (TMT) heterogeneity and peer effects in investment decision-making and explore the mediating role of social learning processes.

To investigate the correlations between TMT heterogeneity and investment peer effects, we considered the TMT heterogeneity category, team process and contextual factors. With a sample of 8,467 firm-year observations from Chinese listed companies, we used the mean linear model and instrumental variable method to empirically examine their relationships. To identify the mediating role of social learning processes, we introduced a social learning model to find out the contextual factors influencing corporate social learning demands from three aspects and subsequently used comparative statics analysis to explore the variations in the main effect under these contextual factors.

For task-oriented heterogeneity (e.g. functional background, education and tenure heterogeneity), the opposite effects of information elaboration and social categorization processes make it a nonlinear multiplex correlation with investment peer effects. For relation-oriented heterogeneity (e.g. age and gender heterogeneity), the sole effect of social categorization processes leads to a negative linear correlation. Further, we identify the mediating role of social learning processes. In summary, we established a connection from the TMT heterogeneity, to information elaboration theory or social categorization theory, to social learning processes and ultimately to investment peer effects.

The results of this study provide a comprehensive perspective to predict the decision-making outcomes of team heterogeneity and contribute to heterogeneity research and practice.

This systematic review aims to identify the key determinants of knowledge transfer (KT) activities among researchers.

This study systematically reviewed KT literature in academic settings from 1995–2023. The authors searched Web of Science and Scopus using predefined keywords, following PRISMA guidelines for screening and eligibility assessment. From 158 selected articles, the authors extracted data and conducted a descriptive analysis to map KT activities’ evolution. A narrative synthesis approach categorized determinants of researchers’ KT activities.

The systematic review findings revealed a general conceptual framework that categorizes the identified determinants of KT into four categories. At the individual level, the factors are related to the sociodemographic characteristics of the researcher (e.g. gender, age, experience), their psychological aspects (e.g. attitude, intrinsic motivation, intention) and personal characteristics (e.g. self-efficacy, communication skills). At the research team level, leadership style and team dynamics. At the organizational level, the findings emphasize university characteristics (e.g. size, structure and ranking), KT culture installed and university resources. At the inter-organizational level, the key determinants were funding sources, network strength and trust.

The studies included in our database were different in terms of contexts, country of the study, the disciplines of KT and the types of KT activities examined. This variety restricts the direct comparison of research findings thus the generalizability of our conclusions. Future research should focus on specific contexts, disciplines, countries or types of KT activities to provide generalizable findings.

A better understanding of all the factors influencing KT among university researchers is essential for several reasons. First, it will enable the government to develop effective policies to promote KT ecosystems. Second, universities can create strategies, policies and programs to support researchers’ engagement in KT activities. Finally, researchers can be more strategic in their KT efforts.

This systematic review contributes to the literature by providing a comprehensive conceptual framework that identifies KT determinants at different levels and fills a gap in the existing literature that only addresses specific aspects of KT determinants. This framework can be a theoretical reference for future empirical studies. Furthermore, it practically provides recommendations for different actors including, government, universities and researchers.

The issue of housing affordability is a serious concern, as it affects households’ ability to cover housing expenses without sacrificing other essential needs. However, housing affordability is not solely dependent on economic conditions. The consequences of climate change, such as extreme weather events can worsen the housing crisis by reducing the supply of affordable housing and driving up costs. Therefore, the purpose of this paper is to investigate how in addition to economic conditions, climate change affect the affordability of housing in the USA using state-level data covering the 50 states in the country.

This study used a panel autoregressive distributed lag model to estimate short- and long-term effects and analyzed economic periods before and after the global financial crisis. This study also divided the states into two regions, the hottest and coldest, to examine differences in housing affordability.

The findings reveal some crucial facts about housing affordability concerning economic conditions and climate change. The study shows result that suggests better economic conditions lead to increased housing affordability, particularly in colder regions. Additionally, climate change positively affects housing affordability in the short term. Finally, this study confirms the important role of interest rates in the relationship between economic conditions and housing affordability.

The review of existing works indicates that studies on housing concerning economic conditions and climate change at disaggregated levels are very scarce. As a result, this study pays attention to investigating the connection between housing affordability and economic conditions for 50 states in the USA. Additionally, this study makes some extensions by examining the role of climate change and how interest rates could mediate in the nexus given either improved or depressed economic conditions.

This research investigates the barriers impeding innovation within small- and medium-sized enterprises (SMEs) in Brazil, exploring 54 innovation-related barriers categorized into six distinct groups to offer substantial insights and analyses pertinent to the decision-makers, researchers and SMEs.

This research employed a mixed quantitative and exploratory approach, utilizing fuzzy Delphi, fuzzy analytic hierarchy process (AHP) and fuzzy decision-making trial and evaluation laboratory (DEMATEL) methods. The fuzzy Delphi method confirmed the categories and barriers through quantitative analysis, the fuzzy AHP ranked the validated obstacles and the fuzzy DEMATEL method identified causal connections among the top-priority barriers.

Out of 54 barriers, 23 significantly impacted SMEs. The “Financing and Financial” category was the most significant barrier, with “Access to Financing” being the most critical impediment. The barrier with the most influence was “Instability of Fiscal Policies,” and the highest causal priority was “Survival of the Priority Business,” identifying the government’s unstable fiscal policy as the principal barrier confronting SMEs in Brazil.

The primary challenges for Brazilian SMEs center on financing, fiscal policies and maintaining ongoing operations. By addressing these barriers and fostering a resilient business environment, SMEs’ innovation capabilities and competitiveness can be enhanced, serving as key drivers for sustainable economic growth in fluctuating economic conditions. This study contributes to the literature by highlighting and validating the main barriers to SME innovation, providing highly relevant information about the innovation process.

Senior executives and leaders of public sector institutions (PSIs) are responsible for the development, preservation or restoration of employee integrity (EI). This conceptual paper aims to address the direct impact of EI on work performance (WP). It also explores the interceding effects of job satisfaction (JS) and employee organisational identification (OI) and the context-conditional impact of purposeful leadership (PL).

This research builds a research framework coupled with suppositions by integrating literature from both theoretical and empirical works in the fields of integrity management, human resource management, performance management and leadership using a systematic literature review approach. Firstly, the authors explicitly express the authors’ list of goals through replicable design. Secondly, the authors find all research papers that would satisfy the requirements for inclusion. Thirdly, the authors evaluate the truthfulness of the results from the incorporated research, and, finally, the authors offer a summary and synthesis of the features and outcomes of the incorporated research.

This study finds that EI will be favourably linked to WP, and this encouraging connection will be favourably interceded by JS and OI, both independently and together. Also, PL will favourably moderate the EI–JS connection as well as the EI–OI linkage.

This study provides a novel framework for specialists and academics in four multidisciplinary fields for improving the EI and WP of employees using JS and OI as strategic devices. It also considers the conditional influence of PL, which has been underexploited in the academic sphere. Thus, this research sets the stage for forthcoming academics to investigate this research framework empirically in diverse PSIs worldwide.

To guarantee that PSIs draw, grow and preserve workers who symbolise the beliefs of the institution, their leadership must uphold a “values-grounded approach” to all facets of its human resource practises – comprising recruitment, performance appraisals, training, leadership development platforms and promotions.

This study reveals the importance of improving integrity in PSIs and the diverse mechanisms through which EI translates into WP. It also highlights the possible benefits that purposeful leaders can offer as well as the problems that they can potentially help mitigate.

This research adds to the sparse literature on the construct of PL within PSIs’ settings and offers a new conceptual model for boosting employee WP through the facilitating roles of JS and OI, both separately and together.

Segmentation theory argues that the labor market is composed of a variety of non-competing segments between which rewards to human capital are determined by institutional structures. This paper presents new evidence on sector-wise earning differential for both male and female samples to assess the implications of segmentation theory.

Primary data is collected through simple random sampling technique with a survey questionnaire from 954 employed individuals of Southern Punjab, the less developed region of Pakistan. OAXACA decomposition technique is adopted to estimate earning differential.

Empirical estimates of OAXACA decomposition reveal that the extent of discrimination between public and private sector is greater in case of females than in male samples. Education and region are crucial factors behind sector-wise earning differential for both male and female samples. Job characteristics are more valued than occupation to explain sector-wise earning differential. Occupation largely contributes to explain public–private sector earning differential in male sample than in female sample. Moreover, job security is highly valued by females than males.

Segmentation of the institutional structure in a developing economy is empirically verified by using primary data due to non-availability of data on some variables from secondary data sources. This study attempts to explore the key factors of public–private sector wage differential for male and female samples separately due to the differences in their preferences for work and earning functions.

This study investigates the impact of organizational ambidexterity on employee performance within Jordanian clearance companies, focusing on the mediating role of organizational learning. This research aims to explore how the dimensions of exploration and exploitation influence performance outcomes, including effectiveness and growth.

Using analytical descriptive research, this study uses SMART-PLS 4 for hypothesis testing and mediation analysis. A meticulously developed questionnaire, grounded in scholarly literature and vetted by experts, was distributed to 230 employees across the Jordanian clearance industry, achieving a 91.3% response rate.

This study found that companies do better when they effectively explore and exploit, especially if they also focus on learning and adapting. This insight is particularly useful for those in the human resource development and management fields who aim to boost employee performance and, ultimately, the success of their organizations. The findings reveal a significant indirect effect of organizational ambidexterity on performance through organizational learning. Ambidexterity explained 55.6% of the variance in organizational learning, and subsequently, organizational learning accounted for 47.4% of performance variance. The total performance variance was 81.8%, indicating a strong relationship between the constructs.

This study’s scope is limited to the Jordanian clearance industry, suggesting the need for further research across different contexts and industries. The reliance on self-reported data may introduce bias, warranting future use of mixed methods for a more comprehensive understanding.

The findings underscore the importance of fostering organizational learning as a mediator between ambidexterity and performance. Companies should invest in strategies that enhance both exploratory and exploitative activities, leveraging organizational learning to improve performance outcomes.

By highlighting the role of organizational learning in mediating the relationship between ambidexterity and performance, this research suggests pathways for businesses to contribute to economic growth and employee development within the Jordanian context and potentially beyond.

This study contributes to the field by examining the underexplored context of the Jordanian customs clearance industry and using a robust methodological framework to assess the relationship between organizational ambidexterity, learning and performance. It provides empirical evidence supporting the significant impact of balanced competency configurations on performance outcomes.

This paper aims to examine the role of bullying victimization in predicting psychopathology, encompassing post-traumatic stress disorder (PTSD), risk of developing prodromal psychosis and emotional and behavioural problems, among in-school Nigerian adolescents.

A total of 351 junior secondary students (n = 173 males, 178 females; age range: 9–17 years) were recruited from five randomly selected public secondary schools in Nigeria. Students completed a variety of self-report measures, including a socio-demographic questionnaire, the prodromal questionnaire – brief version, the strengths and difficulties questionnaire (SDQ) and the multidimensional peer victimization scale. They were also interviewed using the PTSD module of the Mini International Neuropsychiatric Interview-Kid Version.

Although bullying victimization was not found to predict the presence of PTSD, it predicted the risk of developing prodromal psychosis. All SDQ subscales also held significant positive associations with bullying victimization. This indicates that higher levels of victimization are associated with increased behavioural and emotional difficulties among adolescents.

The study findings add support to whole system approaches involving relevant stakeholders in health, education, social and criminal justice sectors via protective policies to address the problems of bullying in schools.

The study contributes to evidence demonstrating a need for improved understanding regarding the role of exposure to bullying victimization in predicting various forms of psychopathology. Furthermore, there is specifically a need for research with this focus in developing countries in sub-Saharan Africa and the Nigerian education system.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.