Mokslo publikacijos

This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the “win–win” potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers.

Given that structural efficiency serves as a significant instrument, this paper applies a novel approach to measure structural efficiency levels within Chinese banks from the perspective of potential improvement. To further investigate the patterns of structural efficiency, the overall structural efficiency is disaggregated into a series of variable-specific structural efficiencies. It reveals that fixed assets and non-interest incomes constitute the primary sources of structural inefficiency during the study period.

Renewable energy investment evaluation continues to rely predominantly on technoeconomic and environmental criteria, while equity-related considerations remain weakly embedded within formal decision-support frameworks. Although recent research increasingly acknowledges social impacts, spatial constraints, policy uncertainty, and financing structures, these dimensions are rarely integrated in a systematic and operational manner into investment appraisal.

Despite the practical relevance of many tourism research studies, organizations and policymakers often struggle to integrate them due to time constraints, language barriers, limited resources, and interaction challenges. Generative artificial intelligence (GenAI) offers new capabilities to overcome these barriers. We propose a GenAIenabled knowledge translation process with three stages: (i) research curation to identify and translate relevant literature; (ii) content creation to produce materials; and (iii) market research using synthetic guests to pre-test their effectiveness.

Benefit of the doubt (BoD) models are widely used for multicriteria analysis. A BoD model allows the weights of criteria to vary across observations based on the observed data; however, this can reduce the discriminatory power and induce rank reversal. The common weight BoD was developed to mitigate these issues at the expense of the “benefit of the doubt” itself because a degree of weight flexibility is lost.

Reducing energy consumption and improving energy efficiency are particularly important for mitigating climate change. The main motives for saving energy and improving energy efficiency are economic and environmental. It is also necessary to implement the environmental policy. Thus, this paper aims to analyse attitudes towards ecological policy and the impact of economic and environmental factors on energy consumption and energy efficiency behaviours in European Union (EU) countries in 2022.

This study examines family business performance through three theoretical lenses: dynamic capabilities, entrepreneurial orientation, and socioemotional wealth. Data were gathered from 156 Spanish family businesses and interviews with eight family business CEOs. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data. The results reveal valuable findings. Dynamic capabilities, particularly sensing, seizing, and resource reconfiguration, are critical for navigating dynamic environments and achieving sustainable competitive advantage.

Purpose – This study investigates the effects of institutional pressures on the adoption of supply chain analytics (SCA) and its subsequent impact on supply chain (SC) innovation and frugal innovation. It also examines the correlation between SC innovation and frugal innovation.

Purpose – The prices and rents of land depend on its marginal productivity and a number of other factors (the range of economic and policy-related factors). Significant changes in the European Union (EU) agricultural policy and changes in productivity models in recent years have influenced land market dynamics. To properly understand the dynamics in the land market and relate it to changes in agricultural production and policy, it is important to establish a multi-factor model that would allow the main factors determining changes in land rental prices in the EU to be assessed.

This paper presents a novel hybrid methodology combining the COPRAS and TOPSIS multi-criteria decision-making (MCDM) approaches with gradient vector field analysis to identify strategic pathways for socio-economic development across BRICS countries (Brazil, Russia, India, China, and South Africa). By leveraging weighted Positive Ideal Solutions (PIS) and gradient directions, the study evaluates the contribution of 31 socioeconomic criteria to utility maximization at the national level.