Search Results (88)

This study explores the emergent dynamics of knowledge sovereignty within organisations following data breach incidents. Using qualitative analysis based on Benoit’s image restoration theory, this study shows that employees do more than relay official messages—they actively shape information governance after a cyberattack. Employees adapt Benoit’s response strategies (denial, evasion of responsibility, reducing offensiveness, corrective action, and mortification) based on how authentic they perceive the organisation’s response, their identification with the company, and their sense of fairness in crisis management. This investigation substantively extends extant crisis communication theory by showing how knowledge sovereignty is shaped through negotiation, as employees manage their dual role as breach victims and organisational representatives. The findings suggest that employees are key actors in post-breach information governance, and that their authentic engagement is critical to organisational recovery after cybersecurity incidents. Full article

Returning to work after extended holidays poses significant challenges to employees’ psychological adjustment, yet this phenomenon remains underexplored in organizational research. Drawing on the Conservation of Resources (COR) theory, this study develops and tests a moderated mediation model to examine how pre-holiday work-related irritation influences post-holiday workplace vigor through heightened need for recovery, and how perceived organizational support buffers this process. Data were collected through a four-wave time-lagged design surrounding the Chinese Spring Festival, with a final sample of 349 employees across diverse industries. Results show that pre-holiday emotional strain increases employees’ recovery needs, which in turn undermines their workplace vigor. Moreover, boundary strength at home and perceived organizational support buffer the indirect negative pathway, highlighting the critical roles of both personal and organizational resources in the recovery process. By shifting attention from burnout to positive energy states such as vigor, this study advances theoretical understanding of post-holiday adjustment dynamics and offers practical insights for organizations seeking to foster employee resilience and sustained engagement after structured breaks. Full article

Building on the Job Demands–Resources model, this study aims to investigate the interaction between job characteristics and work-related stress indicators in a sample of 211 Italian Armed Forces personnel. Using Latent Profile Analysis (LPA), three distinct profiles emerged based on job demands (workload and perception of performing high-risk work) and resources (relationships with colleagues and supervisors, perceived meaningfulness of work, and feedback received on quality of work). The first profile, characterized by high demands and low resources, was associated with higher levels of work–family conflict and need for recovery (an indicator of perceived fatigue at the end of the workday). The second profile, characterized by high resources and low demands, showed the lowest levels of both need for recovery and work–family conflict, while the third profile showed average scores on demands, resources, and outcome variables. These findings are in line with the chosen theoretical framework and prompt several reflections on work-related well-being in the armed forces and what can promote it. Stemming from the results is the importance of organizational interventions designed to protect employees’ well-being and support their effective functioning. Such interventions are particularly critical within the armed forces context, where operational performance has a direct impact on the safety and well-being of citizens. Full article

The COVID-19 pandemic presented an unprecedented challenge for the tourism industry, disrupting operations, reducing customer demand, and forcing businesses to adapt quickly to a new reality. This study explored the impact of COVID-19 on the tourism and hospitality industry and addresses a specific research gap: the limited application of structured theoretical frameworks—particularly the three-R stakeholder collaboration model—in examining recovery strategies. Prior studies have largely focused on individual tactics or short-term impacts, rather than a structured, stakeholder-driven, multi-phase recovery process. Employing a qualitative research design, this study used grounded theory to investigate how tourism service providers and key stakeholders navigated the challenges of the pandemic. Data were collected through semi-structured interviews with 20 participants, including tourism business owners, hotel and event managers, public sector employees, and academics. These insights offer a comprehensive, multi-perspective view of how the industry navigated the pandemic. Grounded theory was used to inductively develop a model of recovery behaviors, with data coded through open, axial, and selective stages using MAXQDA 2020 software. Findings revealed several key strategies—such as cost-cutting, digital transformation, and cultural adaptation—that enabled businesses to maintain operations during the pandemic and recover in its aftermath. Finally, refashioning business models through digital transformation, the diversification of services, and a shift to local markets helped tourism providers adapt to the changing environment and ensure long-term resilience. Full article

Air traffic controller employees in Libya face difficult working environments due to a lack of supervisory support in a high-pressure environment. This support is necessary for the capacity to make crucial decisions, especially in emergencies requiring quick action and decision making. This study’s purpose was to leverage the social exchange theory to investigate the mediating role of work engagement and the moderating role of emotional stability in the relationship between perceived supervisory support and the service recovery performance of air traffic controllers in three units: the Area Control Center, Approach Control, and Control Tower. A stratified sampling technique was employed to collect data from 168 air traffic controller employees. Of the total responses, 6 were considered invalid, resulting in 162 valid usable responses. The collected data were analyzed using partial least squares structural equation modeling (PLS-SEM) software (version 4.1.0.8). This study discovered that perceived supervisory support had a positive and significant impact on service recovery performance and work engagement. It was revealed that work engagement partially mediates the relationship between perceived supervisory support and service recovery performance. Furthermore, the moderating relationship between emotional stability and perceived supervisory support had a positive and significant influence on service recovery performance. Supervisors should adopt measures that enhance employee engagement, such as acknowledging individual and collective achievements, promoting involvement in decision making, and providing avenues for professional development. These will contribute to improvements in supervisory support and impact service recovery performance. Full article

The COVID-19 pandemic has meant a serious risk to the economic viability of companies and the sustainability of employment in the restaurant sector, a high-impact activity for the economy and employment in Mexico and Spain. This paper analyzes the causes of the prolonged and intense damage to companies and employees via multilevel analysis techniques and a qualitative, inductive methodology drawing on multiple sources. Research propositions posit that the sectoral structure, management practices, and institutional actions during and after the pandemic are predictors of recovery or continued losses. The balanced result of these three levels of analysis, in a severe crisis situation, such as the global pandemic, reveals that the combination of low institutional protection at the macro level, a hostile industry structure at the meso level, and a focus solely on economic sustainability as the primary business objective resulted in widespread resignation and put survival at risk, particularly for smaller companies and entrepreneurs. Analysis of the firms’ and stakeholders’ actions also shed light on the inter-relations, such as the negative effect of macro general policies on a fragmented, asymmetric meso level. Inter-relations among customers and firms’ behavior gave insights that could increase resilience before general critical events. Finally, the balanced results recommend a simultaneous effort from firms and policy makers to make possible a profound change while addressing the sector’s shortcomings. Firms’ effort in managing key assets, such as human capital, to acquire the capacity for the flexibility, adaptability, and innovation essential for change and renewal, must be endorsed by institutional support and customer recognition of the contributions of this singular service and cultural industry. Full article

Concerns regarding the health risks associated with employe exposure to volatile chemicals during gasoline refueling necessitates rigorous investigation and effective countermeasures. This study aims to evaluate the efficacy of vapor recovery systems in mitigating exposure risks during gasoline refueling. Employee exposure to volatile organic compounds, aldehydes, carbon monoxide, and fine particulate matter (PM_2.5) was assessed at gasoline stations with and without vapor recovery systems. Three stations each from the State of Mexico and Mexico City, equipped with gasoline vapor recovery systems, were compared with three stations in Guadalajara lacking such systems. The exposure concentrations (mean ± standard deviation) to benzene in Guadalajara, the State of Mexico, and Mexico City were 45 ± 29, 24 ± 20, and 18 ± 15 μg/m³, respectively, which were significantly higher than the background atmospheric concentrations at 1.6 ± 0.56, 0.72 ± 0.083, and 0.65 ± 0.14 μg/m³, respectively. Similarly, the exposure concentrations of toluene, ethylbenzene, and xylenes at gasoline stations were significantly higher than the background atmospheric concentrations. However, the exposure concentrations of formaldehyde and PM_2.5 were similar to the background atmospheric concentrations. The excess cancer risks due to benzene exposure were estimated at 1.2–4.2 × 10⁻⁵, 0.63–2.2 × 10⁻⁵, and 0.46–1.6 × 10⁻⁵ (mean) and 0.42–1.5 × 10⁻⁴, 0.29–1.0 × 10⁻⁴, and 2.4–8.6 × 10⁻⁵ (maximum) in Guadalajara, the State of Mexico, and Mexico City, respectively. The risk to employees in gasoline stations was reduced by 47–61% in service stations with gasoline vapor recovery systems. Full article

The fatigue allowance effectively mitigates declines in physiological state due to work fatigue. An appropriate allowance rate facilitates timely recovery for employees and serves as a crucial basis for labor quota formulation. In this paper, the action mode in mechanical processing was extracted and disassembled into six action units. The study conducted fatigue measurement experiments based on physiological measurement methods, including exercise fatigue tests at different frequencies and work fatigue tests over varying durations. As the frequency of actions increased, the rate monotonic scheduling index showed a linear increasing trend and the degree of fatigue caused by the action was different. The fatigue coefficient of different action units and the fatigue index of the fatigue instability period were obtained by fitting. Hazard ratio indicators showed significant differences, and the corresponding fatigue recovery rest time was obtained for different continuous operation hours. By further fitting the above data, a fatigue relaxation rate model suitable for simulating operation methods was obtained (the fatigue coefficient for the simulated operations in this study is 0.076152) which could provide a reasonable basis for the formulation of fatigue allowance rates for machining methods. Full article

This study examines air quality in Polish health resorts (HR) and its potential health risks, challenging the belief that these environments always provide safe air for recovery. Over five years, air quality was evaluated by measuring concentrations of PM10 and benzo(a)pyrene (B(a)P) in seven resorts with varying environmental conditions. Using data from 3781 daily samples, both non-carcinogenic and carcinogenic risks were assessed for visitors (various age groups) and employees to determine health risks from prolonged exposure. The findings show frequent exceedances of national B(a)P limits, with some resorts, such as HR2 in Rabka-Zdrój and HR3 in Polanica-Zdrój, surpassing permissible levels by up to 320% and 373%, especially in winter. Non-carcinogenic risks exceeded safe limits by up to 40% for visitors in HR2 and 18% for employees in HR6 (Szczawno-Zdrój). Carcinogenic risks were up to 3.74 times higher than acceptable levels for visitors in HR2 and 3.15 times higher for employees in HR5 (Latoszyn), indicating a continuous risk from long-term exposure. These findings underscore the urgent need for measures to improve air quality in HRs. Given the global implications, similar risks could affect resorts worldwide. Therefore, future research should focus on cross-border studies and innovative strategies to manage pollution and protect health. Full article

Health tourism, a sector that has gained increasing global attention, particularly in the context of sustainable development, is poised for significant growth even in the face of the COVID-19 pandemic. This study investigates the challenges faced by the health tourism sector in a small Mediterranean country, focusing on sustainable recovery strategies. The current study aims to determine managerial implications post-COVID-19, emphasizing sustainability in operational practices and long-term demand growth. We conducted in-depth interviews with 32 health tourism managers and experts, and the qualitative content analysis with Leximancer identified key themes such as sustainable demand management, organizational adaptation, and crisis recovery. This study revealed eight critical themes related to managerial survival and the demand for sustainable practices in health tourism, namely “demand”, “hotel”, “tour operators”, “employees”, “crises”, “social media”, “word of mouth”, and “time”. These findings underscore the importance of integrating sustainability into tourism recovery strategies, ensuring long-term resilience for the industry. This study, which provides theoretical and practical insights into the sustainable growth of health tourism amidst global crises, serves as a valuable reference for stakeholders seeking sustainable development solutions, inspiring them to contribute to the sector’s growth. Full article

This study focuses on the resilience of tourism economies in Chinese provinces, exploring their spatiotemporal evolution and driving forces as a crucial prerequisite for promoting the high-quality development of China’s tourism industry. We construct a resilience evaluation index system from four dimensions: resistance resilience, recovery resilience, reshaping resilience, and development resilience, using provincial tourism data from 2012 to 2022. The study employs Moran’s Index, kernel density estimation, and GIS technology to investigate the differentiation characteristics, spatial evolution processes, and spatial agglomeration characteristics of provincial tourism economic resilience in China. Finally, the GeoDetector model is used to analyze the driving factors. The findings are as follows: (1) Over time, most provinces and cities in China have shown varying degrees of improvement in tourism economic resilience, with different changes observed across the four dimensions. (2) Spatially, significant differences exist between provinces, with better resilience in the east than in the west and in the south than in the north. (3) Regionally, while no polarization is observed, there is a distinct differentiation between high and low-value areas. (4) Regional linkages indicate the presence of interregional associations in China’s tourism economic resilience, with non-uniform distribution of cold and hot spots. (5) Key driving factors include per capita railway mileage, domestic tourism revenue, the number of travel agencies, and the number of employees in accommodation and catering. Under the backdrop of rapid tourism economic development, improving infrastructure construction and enhancing the comprehensive strength of the tourism industry is vital for boosting tourism economic resilience. Full article

The popularity of online shopping in China has increased significantly, creating new development opportunities for the express delivery industry. However, the rapid expansion of the express industry has also created challenges in the parcel sorting process. The demanding nature of parcel sorting work, which is characterized by intense and prolonged repetitive tasks, makes individuals particularly vulnerable to the effects of fatigue. Fatigue is a complex condition that encompasses both physiological and psychological exhaustion. It often results in reduced energy levels and diminished functionality, significantly impacting an individual’s performance at work and their overall well-being. This study aimed to investigate how physiological and psychological fatigue affects sorting efficiency and to identify appropriate rest periods that will allow employees to maintain their performance levels. The research involved fifteen participants who took part in a 60 min continuous sorting experiment and a similar experiment with scheduled breaks. During both trials, we collected data on participants’ electromyography (EMG) and electrodermal activity (EDA), as well as subjective fatigue ratings (RPE). Signal features such as the median frequency (MF) of EMG and the skin conductance level (SCL) were analyzed to assess physiological and psychological fatigue, respectively. The results show that physiological fatigue mainly affects sorting efficiency in the first 30 min, while psychological fatigue becomes more influential in the following half-hour period. In addition, subjective fatigue levels during the first 30 min are primarily determined by psychological factors, while beyond that point, both physiological and psychological fatigue contribute to subjective fatigue. Rest periods of 415–460 s, based on EDA recovery times, effectively support sorting efficiency and participants’ recovery. This study highlights the complex ways in which fatigue affects parcel sorting performance and provides valuable theoretical and practical insights for establishing labor quotas and optimizing work schedules in the parcel sorting industry. Full article

Companies need to decrease service failures through service recovery and by managing customers’ emotions, which is important. Customer databases are vital to understand needs and service innovation. Utilizing data, companies can identify pain points and innovate services, reducing customer complaints. We examined 140 customer records from an auto maintenance company’s database and found 602 failure descriptions. The main complaints include maintenance performance, service attitude, and professionalism. Employee behavior accounted for most failures. Pain points in the process were the most common, followed by support, financial, and productivity issues. Such results suggest that service innovation is needed. Full article

Today, with the increase in population, technological developments, industrialization and urbanization, problems related to waste management (WM) have become increasingly important to a sustainable and global clean environment. The gradual deterioration of the quality of environmental elements and the increase in environmental problems have caused societies to focus more on environmental problems. Waste management is a form of management that includes the prevention, non-prevention, reuse, recovery, and disposal of domestic, medical, hazardous, and non-hazardous wastes. This study aims to prioritize critical success factors (CSFs), via the Analytical Hierarchy Process (AHP), in industrial waste management and to determine the most important critical success factor. The four main criteria and 23 sub-criteria were scored by the AHP method according to the opinions of five environmental engineers. After determining critical success factors, survey questions were prepared to make employees rank these factors. While the “national/local waste management strategies and policies” factor was the most important critical success factor according to environmental engineers, the most important critical success factor for employees was “enterprise waste management strategies and policies”. In addition, differences in the priorities of CSFs were found in the opinions of employees in different sectors. Full article

Debt collection companies buy overdue debts on the market in order to collect them and recover the highest possible amount of a debt. The pursuit of debt recovery by employees of collection agencies is a very demanding task. The aim of the article is to propose a rule-based model for managing the process of mass debt collection in a debt collection company, which will make the debt collection process more efficient. To achieve this, we have chosen a decision tree as a machine learning technique best suited for creating rules based on extensive data from the debt collection company. The classification accuracy of the decision tree, regardless of the possibility of acquiring rule-based knowledge, proved to be the highest among the tested machine learning methods, with an accuracy rate of 85.5%. Through experiments, we generated 16 stable rules to assist in the debt collection process. The proposed approach allows for the elimination of debts that are difficult to recover at the initial stage of the recovery process and to decide whether to pursue amicable debt collection or to escalate the debt recovery process to legal action. Our approach also enables the determination of specific actions during each stage of the proceedings. Abandoning certain actions or reducing their frequency will alleviate the burden on collection agency employees and help to avoid the typical burnout associated with this line of work. This is the path to making the organizational culture of a collection agency more sustainable. Our model also confirms the possibility of using data from debt collection companies to automatically generate procedural rules and automate the process of purchasing and collecting debts. However, this would require a larger set of attributes than what we currently possess. Full article