Search Results (314)

Effective human resource allocation is crucial for research and development project success. While multi-attribute decision-making methods are valuable, their application to human resource allocation in research and development remains underexplored; success factors are lacking, hindering robust decision frameworks. This paper identifies key human resource management attributes for research and development project success, integrating them into a theoretical framework for optimal allocation using multi-attribute decision-making methods. Our systematic literature review and content analysis of project performance research identified 49 distinct human resource-centric factors. These are organized into a functional model with four categories: strategic orientation, operational execution, organizational competence, and innovative–adaptive potential; their frequency indicates managerial focus. This highlights the critical need for a structured human resource allocation approach in research and development. Factors and the framework enhance project success. This study represents a foundational framework for MADM, offering a comprehensive and up-to-date list of relevant factors to ensure empirical and quantitative studies are grounded in a complete analysis rather than a random selection of a few factors. This work addresses a significant gap in the application of multi-attribute decision-making methods for human resource allocation in research and development, providing a comprehensive and robust tool for academia and practice. Full article

The strategic transformation of increasing data volumes into managerial decisions is critical for organisational performance and sustainability; yet, it faces hurdles like poor data quality, technological deficiencies, and skill gaps. This study investigates the causal interdependencies among key factors influencing data-driven decision-making within data-driven organisations. Utilising the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, a robust structural and Multi-Attribute Decision-Making (MADM) technique, expert judgments from five management-level professionals were analysed to construct direct and total-relation matrices. The results classify Data Analytics Literacy (DAL) and Business-Strategy Alignment (BSA) as primary causal factors, while Data Quality (DQ), Data Infrastructure & Technology (DIT), and Data Culture & Governance (DCG) emerge as effect factors. These findings provide a structured framework for prioritising managerial interventions, suggesting that strengthening foundational elements (DAL and BSA) will significantly enhance analytical capabilities and strategic alignment. A limitation is the small, expert-based sample, indicating the potential for future validation with larger, more diverse panels or Fuzzy-DEMATEL applications. Full article

This study examines the intersection of renewable energy and tourism by exploring why domestic tourists visit wind farm sites for recreation. Traditionally seen as industrial facilities, wind farms are now recognized as dual-purpose attractions that promote environmental awareness and local economic growth. Using the Value–Belief–Norm (VBN) theory, Theory of Planned Behavior (TPB), and New Environmental Paradigm (NEP) as theoretical lenses, we investigate the psychological, social, and cultural factors influencing wind farm tourism. The key determinants of tourist behavior include attitudes, subjective norms, perceived behavioral control, personal norms, and environmental beliefs. Structural equation modeling (SEM) indicates that personal norms have the strongest direct impact on tourists’ intentions (underscoring the importance of internalized moral obligations in this context), with additional indirect effects through environmental citizenship factors. The findings highlight wind farms’ potential to foster sustainability, community engagement, and rural development. Managerial recommendations include providing visitor amenities, targeted marketing, and community involvement to enhance wind farms’ appeal as tourism destinations. This study contributes to tourism theory by expanding the definition of attractions to include renewable energy sites. Future research should examine the moderating role of past behavior and incorporate additional environmental citizenship variables to deepen insights into wind farm tourism. Full article

This study intends to provide insights and challenges for the shape of the B movement, an emerging paradigm that fosters cross-sectoral partnerships and encourages ethical business practices through so-called purpose-driven businesses. Focusing on Italy, the first European country to adopt this managerial model, the research investigates Italian Benefit Corporations, known as Società Benefit (SB), and their most appealing sustainability claims from a consumer perspective. The analysis intends to inform theory development by assuming the cultural and creative industry (CCI) as a field of interest, utilizing a within-subjects experimental design to analyze data from a diverse consumer sample across various contexts. The results indicate that messaging centered on economic sustainability emerged as the most effective in generating positive consumer responses, highlighting a prevailing inclination toward pragmatic factors such as affordability, economic accessibility, and tangible benefits rather than social issues. While sustainable behaviors are not yet widespread, latent ethical sensitivity for authentic, value-driven businesses suggests that economic and ethical dimensions can be strategically synthesized to enhance consumer engagement. This insight highlights the role of BCs in catalyzing a shift in consumption patterns within ethical-based and creative-driven sectors. Full article

Understanding the social drivers of pro-environmental behavior in urban forests and green spaces is critical for addressing sustainability challenges. Subjective norms serve as a key pathway through which social expectations influence individuals’ behavioral intentions. Despite mixed findings in the literature regarding the impact of subjective norms on individuals’ intentions, there is a research gap about the determinants of this construct. This study was conducted to explore how social expectations shape perceived subjective norms among visitors of urban forests. A theoretical model was developed with subjective norms at its center, incorporating their predictors including social identity, media influence, interpersonal influence, and institutional trust, personal norms as a mediator, and behavioral intention as the outcome variable. Using structural equation modeling, data was collected and analyzed from a sample of visitors of urban forests in Tehran, Iran. The results revealed that subjective norms play a central mediating role in linking external social factors to behavioral intention. Social identity emerged as the strongest predictor of subjective norms, followed by media and interpersonal influence, while institutional trust had no significant effect. Subjective norms significantly influenced both personal norms and intentions, and personal norms also directly predicted intention. The model explained 50.9% of the variance in subjective norms and 39.0% in behavioral intention, highlighting its relatively high explanatory power. These findings underscore the importance of social context and internalized norms in shaping sustainable behavior. Policy and managerial implications suggest that strategies should prioritize community-based identity reinforcement, media engagement, and peer influence over top-down institutional messaging. This study contributes to environmental psychology and the behavior change literature by offering an integrated, empirically validated model. It also provides practical guidance for designing interventions that target both social and moral dimensions of environmental action. Full article

This study adopts a dynamic Expectancy–Disconfirmation framework to investigate the evolving nature of user satisfaction across three product categories: durable goods, fast-moving consumer goods (FMCG), and digital products. A 25-day longitudinal experiment involving 128 participants was conducted, during which users engaged with their most recently purchased products and provided repeated subjective evaluations over time. The findings reveal dynamic changes in the influence of expectations and perceived performance on satisfaction throughout the product usage cycle. For durable goods and FMCG, both expectations and perceived performance gradually declined, accompanied by a weakening effect of expectations on satisfaction. In contrast, digital products exhibited greater volatility, lacking a stable experiential baseline and resulting in greater fluctuations in satisfaction trajectories. Moreover, external contextual and emotional factors were found to play a more significant role in shaping satisfaction with physical products, beyond the scope of the traditional expectancy–performance model. These insights offer theoretical and managerial implications for sustainable product and experience design. In particular, they highlight the importance of implementing experience-stabilizing strategies in digital consumption contexts to support user well-being and enhance continuous product utilization, thereby maximizing product potential and reducing waste. Full article

In the process of evaluating the quality of a company’s development, the issues related to production capacity and environmental pollution have emerged as significant concerns. Drawing on the methodologies employed in previous related research, this study utilizes the Data Envelopment Analysis with relaxation variables and the Global Malmquist–Luenberger index to measure the green total factor productivity of Chinese heavy-polluting enterprises. The main findings of this study are as follows: (1) It is clearly demonstrated that higher managerial effectiveness has a substantial positive impact on the improvement of a company’s green total factor productivity; (2) the digitalization progress within enterprises serves as a moderating factor in the relationship between managerial effectiveness and green total factor productivity; (3) the extent of financial constraints acts as a mediating variable, intervening in the relationship between managerial efficiency and green total factor productivity; and (4) a threshold effect is detected between managerial effectiveness and the debt repayment pressure faced by enterprises. When the threshold values of managerial effectiveness or the quick ratio are surpassed, the influence of managerial effectiveness on the green total factor productivity of enterprises will undergo a change. Full article

The confluence of financial constraints, climate change mitigation efforts, and evolving user expectations has significantly transformed the concept of facility management (FM). Traditional FM has now evolved to enhance sustainability in the built environment. Sustainable facility management (SFM) can add value to companies, organizations, and governments by balancing the financial, environmental, and social outcomes of the FM processes. The systematic literature review revealed a limited number of studies developing a performance measurement framework for SFM in office buildings and/or other building types in the literature. Given that the lack of this theoretical basis inhibits the effective deployment of SFM practices, this study aims to fill this gap by developing a performance measurement framework for SFM in office buildings. Accordingly, an in-depth literature review was initially conducted to synthesize sustainable performance measurement factors. Next, a series of focus group discussion (FGD) sessions were organized to refine and verify the factors and develop a novel performance measurement framework for SFM. Lastly, consistency analysis, the Bayesian best worst method (BBWM), and sensitivity analysis were implemented to determine the priorities of the factors. What the proposed framework introduces is the combined use of two performance measurement mechanisms, such as continuous performance measurement and comprehensive performance measurement. The continuous performance measurement is conducted using high-priority factors. On the other hand, the comprehensive performance measurement is conducted with all the factors proposed in this study. Also, the BBWM results showed that “Energy-efficient material usage”, “Percentage of energy generated from renewable energy resources to total energy consumption”, and “Promoting hybrid or remote work conditions” are the top three factors, with scores of 0.0741, 0.0598, and 0.0555, respectively. Moreover, experts should also pay the utmost attention to factors related to waste management, indoor air quality, thermal comfort, and H&S measures. In addition to its theoretical contributions, the paper makes practical contributions by enabling decision makers to measure the SFM performance of office buildings and test the outcomes of their managerial processes in terms of performance. Full article

Background/Objectives: Healthcare institutions, similar to other service providers, should prioritize their clients—in this case, patients—to effectively meet their needs. However, fulfilling this objective becomes increasingly challenging due to numerous factors. Therefore, this study explores student patient satisfaction by examining the effects of environmental quality dimensions (Internal Spaces, External Spaces, And Social Environment) and green practices, as well as investigating how environmental knowledge moderates the relationship between green practices and patient satisfaction. Methods: Given the latent nature of the variables investigated, structural equation modeling (SEM) was employed. Some variables were conceptualized as hierarchical constructs comprising higher-order and lower-order components. Before testing the relationships among variables, reliability and validity assessments were performed. For this purpose, the SmartPLS 4 software was used. Since the focus of the research was on students’ health in general, the sample consisted of 280 students from the University of Novi Sad (Republic of Serbia). Results: Among the three environmental quality dimensions, only the Social Environment had a significant and positive influence on patient satisfaction. Furthermore, the green practices emerged as a significant determinant of patient satisfaction. However, the moderating effect of environmental knowledge on this relationship was found to be non-significant. Conclusions: This research underscores the significance of patient satisfaction as a critical objective for healthcare institutions. Special attention should be directed toward enhancing positive interactions between medical staff and patients and adopting green practices. Consequently, certain managerial aspects related to human resource management (such as adequate staffing and organization of personnel) should be considered. In addition, issues concerning financial challenges and benefits regarding the implementation of green practices in healthcare were presented. Full article

Background/Objectives: The effective management of dental practices is increasingly recognized as a key factor in ensuring high-quality care, efficient operations, and interdisciplinary collaboration. While many dentists assume managerial responsibilities, formal training in healthcare or dental practice management may influence the quality of these practices. This study aims to evaluate the differences in organization, efficiency, and quality of care between dental clinics managed by dentists who have completed management training and those who have not. It also explores dentists’ knowledge and attitudes regarding dental practice management. Methods: A cross-sectional, observational, case–control study was conducted between 14 April and 14 May 2023, using an online questionnaire distributed to licensed dental practitioners in Romania. A total of 136 dentists participated, divided into a study group (n = 60), who had completed management courses and a control group (n = 76) who had not. Descriptive statistics and comparative analyses (t-tests, Chi-square tests) were performed using SPSS version 24, with significance set at p < 0.05. Results: Dentists with managerial training demonstrated greater implementation of strategic planning, financial performance monitoring, quality management, and use of digital tools. They also reported higher collaboration with interdisciplinary professionals—orthodontist 76.7% in the study group vs. 63.2% in the control group, medical assistant 78.3% in the study group vs. 47.4% in the control group, front desk 43.3% in the study group vs. 18.4% in the control group; better delegation of tasks—61.7% in the study group vs. 27.6% in the control group; and greater concern for team development—95% in the study group vs. 71% in the control group; and patient rights—81.7% in the study group vs. 75% in the control group. Significant differences (p < 0.05) were noted in management practices, opinions about the optimal manager for a dental practice, and the use of software tools. Conclusions: Managerial training equips dentists with critical skills for enhancing operational efficiency and care quality. Integrating management education into dental curricula and continuing professional development can substantially improve the sustainability and performance of dental practices. Full article

Purpose: This study aims to provide a comprehensive and objective view to investigate whether the motives of strong financial managers to adopt an accounting conservatism strategy have significant effects on improving financial growth opportunities in the context of banks listed on the Saudi Stock Exchange, while knowing how this relationship is affected by litigation risks. Design/Methodology/Approach: Using data from Saudi financial databases, this study examines how litigation risk moderates the relationship between accounting conservatism and financial growth in Saudi listed banks. Basu’s (1997) model and accrual-based metrics measure conservatism, whereas assets, liabilities, and business age are used to measure financial growth. Litigation risk factors included previous lawsuits. Validity was ensured using fixed-effects regression and robustness tests. Findings: The study found that accounting conservatism has a mixed impact on financial growth, litigation risk moderates the relationship between conservatism and financial growth, and litigation risk has a positive impact on accounting conservatism. Practical Implications: Use a balanced strategy to maintain accounting conservatism, lower litigation risk while maintaining the accuracy of financial statements, take legal risk into account when evaluating the quality of financial reporting, increase transparency without impeding growth, create guidelines tailored to a particular bank, and fortify governance to reduce lawsuits while permitting long-term financial growth. Originality/Value: In order to bridge the gap between conservatism strategies and long-term financial stability in emerging economies, this study examines how managerial decisions in accounting conservatism affect the financial growth of Saudi banks, incorporating litigation risk as a moderating factor. It also contributes to financial policies, risk management, and regulations. Full article

Background: The mediating effect of business resilience in the association between digital logistics strategy and competitive advantage is investigated in emerging markets. Given current global events, digital logistics is more than merely a competitive advantage for firms looking for stability and sustainability. Based on the Resource-Based View (RBV), the research aims to explore how digital strategies promote resilience and performance outcomes, particularly for SMEs in turbulent environments. Methods: They used mixed methods. The quantitative data were obtained from 227 Jordanian SMEs using a structured survey, and the qualitative data were from 10 semi-structured interviews with experts in logistics and marketing. Hypothesized relationships were tested through Partial Least Squares-Structural Equation Modeling (PLS-SEM) and qualitative validation through Thematic Analysis. Results: The results reveal that business resilience is a potent mediator between digital logistics strategies and competitive advantage. Both content marketing and social media marketing contribute to the enhancement of sustainable performance and to decreasing levels of market volatility. Email also has an impact on the sustainability, but does not directly or indirectly affect the volatility. Sustainable performance is thus confirmed to be a major factor for market stability. Conclusions: The findings emphasize the need for resilience-based digital logistics strategies for SMEs in developing economies. Well-directed content and social media marketing support both sustainability and competitive advantage. These findings offer managerial implications for the development of adaptive capacities to achieve long-term performance objectives in uncertain environments. Full article

This study investigates how pandemic-induced emotional disruption has reshaped sustainable consumer behavior in the digital age, with a focus on the continued influence of safety measures in the restaurant industry. As societies transition beyond COVID-19 restrictions, health-related anxieties persist, driving consumers to prioritize hygiene and risk reduction in their decision-making. Drawing on large-scale data from TripAdvisor and OpenTable, we analyze the effects of digitally communicated safety protocols on restaurant booking behavior across major U.S. cities. Our findings reveal that safety communication remains a salient factor in consumer choice, even after the acute phase of the pandemic. This effect is particularly pronounced in lower-tier restaurants, where visible digital safety signals help build trust and compensate for weaker brand equity. Conversely, in upscale establishments, where baseline hygiene standards are presumed, the marginal benefit of safety signaling is reduced. The study also identifies enduring patterns of emotional expression and anxiety in online reviews, indicating the long-term psychological imprint of the pandemic on consumer sentiment. By situating safety communication as both a psychological reassurance mechanism and a strategic digital marketing tool, this research contributes to the emerging discourse on sustainable marketing in post-crisis contexts. The results offer theoretical and managerial insights into how businesses can integrate health assurance into long-term brand strategies, reinforcing trust and resilience in digitally mediated, post-pandemic consumption environments. Full article

This article presents a large case study of fare evasion on bus lines in the city of Lisbon, Portugal, a common problem in dense urban areas. Focus is put on geographic factors, and an analysis is carried out using a generalized spatial two-step least-squares regression (GS2SLS). The large database, spanning one year of fare evasion reports, made it possible to segregate the analysis according to type of day (workday or weekend) and time period (rush hours, nighttime, etc.). Results show that indeed the type of day and time period lead to considerable differences between the seven models analyzed. It was found that the number of inspection actions is the strongest predictor of evasion, with geographic factors also playing a role in predicting fare evasion. Consideration of this spatial component made it possible to find moderate evidence for dissuasive effects of inspection actions in some models and of pockets of evasive tendencies in other models, which appear in the statistical error term. Interestingly, and contrary to other studies, age was found to have almost no influence on the propensity to evade fares. From a managerial point of view, this study highlights the importance of running inspection actions systematically and closely monitoring their outcomes. From a more theoretical standpoint, it suggests further research on geographic factors is needed to fully understand spatial patterns of evasion. Full article

The Shanghai Containerized Freight Index (SCFI) and Ningbo Containerized Freight Index (NCFI) serve as crucial indicators for management and decision-making in China’s shipping industry. This study proposes a novel real-time rolling decomposition forecasting system integrating multiple influencing factors. The framework consists of two core modules: data preprocessing and prediction. In the data preprocessing stage, the Hampel filter is utilized to filter and revise each raw containerized freight index dataset, eliminating the adverse effects of outliers. Additionally, variational mode decomposition (VMD) technique is employed to decompose the time series in a rolling manner, effectively avoiding data leakage while extracting significant features. In the forecasting stage, the cheetah optimization algorithm (COA) optimizes the key parameters of the extreme gradient boosting (XGBoost) model, enhancing forecasting accuracy. The empirical analysis based on SCFI and NCFI data reveals that historical pricing serves as a critical determinant, with our integrated model demonstrating superior performance compared to existing methodologies. These findings substantiate the model’s robust generalization capability and operational efficiency across diverse shipping markets, highlighting its potential value for managerial decision-making in maritime industry practices. Full article