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Land value in urban areas in India is influenced by regulations, bylaws and the amenities associated with them. Planning interventions play a significant role in enhancing the quality of the neighbourhood, thereby resulting in a change in its value. Land is a distinct commodity due to its fixed location, and planning interventions are also specific to certain locations. Consequently, the factors influencing land value will vary across different areas. While recent literature has explored some determinants of land value individually, conducting a comprehensive study specific to each location would be more beneficial for making informed policy decisions. Therefore, this article aims to examine and identify the critical factors that impact the value of residential land in the National Capital Territory of Delhi, India.

The study employed a combination of semi-structured and structured interview methods to construct a Relative Importance Index (RII) and ascertain the critical determinants affecting residential land value. A sample of 36 experts, comprising property valuers, urban planners and real estate professionals operating within the National Capital Territory of Delhi, India, were selected using snowball sampling techniques. Subsequently, rank correlation and ANOVA methods were employed to evaluate the obtained results.

Location and stage of urban development are the most critical determinants in determining residential land values in the National Capital Territory of Delhi, India. The study identifies a total of 13 critical determinants.

A scenario planning approach can be developed to achieve an equitable distribution of values and land use entropy. A land value assessment model can also be developed to assist professional valuers.

There has been a lack of emphasis on assessing the impact of planning interventions and territorial regulation on land values in the context of Delhi. This study will contribute to policy decision-making by developing a rank list of planning-based determinants of land value.

This study aims to evaluate how the criteria of sustainability standards (SS) ensure the social dimension of corporate sustainability (CS) in rural entrepreneurships using the case of banana agribusinesses in Magdalena (Colombia).

The methodological design was quantitative, explanatory and cross-sectional, where a sample of banana producers from Magdalena (Colombia) was selected. A structural equation model (SEM) was developed to evaluate the hypotheses. The SEM goodness-of-fit and fit indices were all acceptable.

There is a strong and statistically significant correlation between SS criteria and the social dimension of CS. In particular, local development is the most influential factor in shaping CS in the context of banana agribusinesses in Magdalena, Colombia, operating as rural entrepreneurship. Meanwhile, working conditions and human rights show moderate effects, while labor rights do not have a perceptible impact.

Only the SS criteria that ensure the social dimension of CS in the banana agribusinesses of Magdalena (Colombia) were considered. It is important to note that other variables may be involved in ensuring CS. Future research to identify these possible variables is recommended.

This investigation explores an understudied issue within the CS sphere, explicitly focusing on rural entrepreneurship in developing countries, notably Colombia. The study scrutinizes the impact of SS on the social dimension of CS in rural environments, using banana cooperatives as a case study and highlighting the value of developing strategies to help improve the CS performance of this type of organization.

El objetivo de esta investigación es evaluar cómo los criterios de los Estándares de Sostenibilidad (SS) aseguran la dimensión social de la Sostenibilidad Corporativa (CS) en los emprendimientos rurales utilizando el caso de los agronegocios bananeros en Magdalena (Colombia).

El diseño metodológico fue cuantitativo, explicativo y transversal, donde se seleccionó una muestra de productores bananeros del Magdalena (Colombia). Se desarrolló un modelo de ecuaciones estructurales (SEM) para evaluar las hipótesis. Los índices de bondad de ajuste y ajuste del SEM fueron aceptables.

existe una correlación fuerte y estadísticamente significativa entre los criterios de SS y la dimensión social de la SC. En particular, el desarrollo local aparece como el factor más influyente en la conformación de la SC en el contexto de las agroempresas bananeras de Magdalena, Colombia, que operan como empresas rurales. Mientras tanto, las condiciones de trabajo y los derechos humanos muestran efectos moderados, mientras que los derechos laborales no parecen tener un impacto perceptible.

sólo se consideraron los criterios de SS que aseguran la dimensión social de la SC en los agronegocios bananeros de Magdalena (Colombia). Es importante señalar que otras variables pueden estar involucradas en el aseguramiento de la CS. Se recomiendan futuras investigaciones para identificar estas posibles variables.

Esta investigación explora un tema poco estudiado dentro de la esfera de la Sostenibilidad Corporativa (SC), centrándose explícitamente en el empresariado rural en los países en desarrollo, en particular Colombia. El estudio analiza el impacto de los Estándares de Sostenibilidad (SS) en la dimensión social de la SC en entornos rurales, utilizando las cooperativas bananeras como caso de estudio y resaltando el valor de desarrollar estrategias que ayuden a mejorar el desempeño en SC de este tipo de organizaciones.

O objetivo desta pesquisa é avaliar como os critérios dos Padrões de Sustentabilidade (SS) garantem a dimensão social da Sustentabilidade Corporativa (SC) em empreendimentos rurais usando o caso das agroindústrias de banana em Magdalena (Colômbia).

O desenho metodológico foi quantitativo, explicativo e transversal, onde foi selecionada uma amostra de produtores de banana de Magdalena (Colômbia). Foi desenvolvido um modelo de equação estrutural (SEM) para avaliar as hipóteses. Os índices de adequação e de ajuste do SEM foram todos aceitáveis.

existe uma correlação forte e estatisticamente significativa entre os critérios de SS e a dimensão social da SC. Em particular, o desenvolvimento local aparece como o fator mais influente na formação da SC no contexto dos agronegócios da banana em Magdalena, Colômbia, que operam como empresas rurais. Entretanto, as condições de trabalho e os direitos humanos apresentam efeitos moderados, enquanto os direitos laborais não parecem ter um impacto percetível.

apenas foram considerados os critérios de SS que garantem a dimensão social da SC nas agroindústrias da banana de Magdalena (Colômbia). É importante notar que outras variáveis podem estar envolvidas na garantia da SC. Recomenda-se a realização de investigação futura para identificar estas possíveis variáveis.

Esta investigação explora uma questão pouco estudada no âmbito da Sustentabilidade Empresarial (SC), focando explicitamente o empreendedorismo rural nos países em desenvolvimento, nomeadamente na Colômbia. O estudo examina o impacto dos Padrões de Sustentabilidade (SS) na dimensão social da SC em ambientes rurais, utilizando cooperativas de banana como estudo de caso e destacando o valor do desenvolvimento de estratégias para ajudar a melhorar o desempenho da SC deste tipo de organização.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

The purpose of this paper is to solve the challenging problem of automatic carrier landing with the presence of environmental disturbances. Therefore, a global fast terminal sliding mode control (GFTSMC) method is proposed for automatic carrier landing system (ACLS) to achieve safe carrier landing control.

First, the framework of ACLS is established, which includes flight glide path model, guidance model, approach power compensation system and flight controller model. Subsequently, the carrier deck motion model and carrier air-wake model are presented to simulate the environmental disturbances. Then, the detailed design steps of GFTSMC are provided. The stability analysis of the controller is proved by Lyapunov theorems and LaSalle’s invariance principle. Furthermore, the arrival time analysis is carried out, which proves the controller has fixed time convergence ability.

The numerical simulations are conducted. The simulation results reveal that the proposed method can guarantee a finite convergence time and safe carrier landing under various conditions. And the superiority of the proposed method is further demonstrated by comparative simulations and Monte Carlo tests.

The GFTSMC method proposed in this paper can achieve precise and safe carrier landing with environmental disturbances, which has important referential significance to the improvement of ACLS controller designs.

This paper aims to propose a novel control scheme and offer a control parameter optimizer to achieve better automatic carrier landing. Carrier landing is a challenging work because of the severe sea conditions, high demand for accuracy and non-linearity and maneuvering coupling of the aircraft. Consequently, the automatic carrier landing system raises the need for a control scheme that combines high robustness, rapidity and accuracy. In addition, to exploit the capability of the proposed control scheme and alleviate the difficulty of manual parameter tuning, a control parameter optimizer is constructed.

A novel reference model is constructed by considering the desired state and the actual state as constrained generalized relative motion, which works as a virtual terminal spring-damper system. An improved particle swarm optimization algorithm with dynamic boundary adjustment and Pareto set analysis is introduced to optimize the control parameters.

The control parameter optimizer makes it efficient and effective to obtain well-tuned control parameters. Furthermore, the proposed control scheme with the optimized parameters can achieve safe carrier landings under various severe sea conditions.

The proposed control scheme shows stronger robustness, accuracy and rapidity than sliding-mode control and Proportion-integration-differentiation (PID). Also, the small number and efficiency of control parameters make this paper realize the first simultaneous optimization of all control parameters in the field of flight control.

This study develops an empirical framework to address how large third-party sellers (TPSs) can apply customer acquisition strategies to improve their performance in consumers’ person-goods matching process and how the platform firm’s similar strategies moderate the effects of TPSs’ strategies.

Using data collected from the top ten TPSs from a Chinese e-commerce platform, the fixed effect model is used to validate the conceptual model and hypotheses.

The study results show that both market detection strategy and matching optimization strategy can help large TPSs improve their sales performance. Moreover, the similar market detection strategy applied by the platform firm weakens the effect of large TPSs’ customer acquisition strategies, while the similar matching optimization strategy applied by the platform firm strengthens the effect of large TPSs’ customer acquisition strategies.

This study provides firsthand evidence on the performance of large TPSs’ and the platform firm’s strategies. It demonstrates the effectiveness of large TPSs’ market detection strategy and matching optimization strategy, which can be adopted to meet consumers’ search and evaluation motivations in their person-goods matching process respectively. Moreover, it identifies the role of platform firms by showing the moderating effect of similar strategies adopted by the platform firm on the effect of large TPSs’ customer acquisition strategies.

This study aims to evaluate how corporate governance focused on meeting the legal requirements applied in poultry slaughterhouses contributes to the advancement of the Sustainable Development Goals (SDGs) within the environmental pillar and identify vulnerabilities in this governance framework.

This research was qualitative and was structured with the following steps: literature review, selection of companies and documentary research on licenses applied to these companies.

The assessment demonstrates that the governance strategy based on legal aspects contributes to progress in indicators related to SDGs such as clean water, climate action, life below water and life on land. However, it falls short when addressing SDG 7 on affordable and clean energy. Another vulnerability of this governance model is that legislation establishes metrics and indicators individually for each link in the poultry industry chain.

Assessment of the corporate governance of poultry slaughterhouses, focusing on legality and analyzing vulnerabilities in the legal aspects of the poultry industry concerning the SDGs that encompass the environmental pillar.

The results provide valuable information for policymakers, regulators and industry stakeholders in the segment, suggesting the need to align legislation with SDGs or adopt incentive policies to encourage the spontaneous advancement of SDGs in the poultry industry.

Considering the need for progress toward a more sustainable world and the trend of organizations focusing their efforts on complying with local legislation, this study aims to contribute to understanding how the legal requirements applied in practice are prepared to support the advancement of the SDGs.

This paper aims to provide a comprehensive overview of the challenges and employee development strategies for executives and managers when managing flexible work systems.

The paper takes an employee development perspective to discuss management strategies of flexible work systems. Research findings on the effects of work flexibility through flexible work systems, the challenges and the development strategies that executives and managers can use were reviewed from multi-level perspectives.

The flexible work system is the new normal in the workplace. Lack of social and face-to-face interactions reduces employees’ social learning, jeopardizing managerial justice and weakening the culture. To remain competitive and retain talented employees, executives should reexamine their current employee development strategies and implement new strategies that fit the characteristics of flexible work systems.

To the best of the authors’ knowledge, this is the first comprehensive review of employee development strategies for flexible working arrangements. The paper provides practical guidelines and insights for executives and leaders managing employees under various flexible work systems.

This paper examines the determinants of concurrent adoption of farm risk management strategies by rice growers in two different ecosystems of Telangana agriculture-irrigated and rainfed ecosystems.

The primary data have been collected from the rice growers in two different ecosystems, and after checking the variance inflation factor (VIF) for controlling multicollinearity, a multinomial logit model has been used to examine the determinants of concurrent adoption of coping strategies by rice growers.

The study finds that adopting one risk management strategy persuades farmers to embrace other strategies, reducing the risk in agriculture between the two ecosystems. Among the determinants, farmers' age, education, contact with extension services, irrigation sources, livestock income, total farm income, crop loss reasons, and crop insurance awareness significantly influence the adoption of various risk management measures. However, considerable heterogeneity is found among the driving forces across the rice ecosystems.

The major policy implications that can be drawn from the analysis are increased access to information through government-funded extension services and the provision of alternative risk management technologies, such as drought-resistant or flood-resistant seeds, farmers' field schools and increased provision of crop insurance, farmer-friendly agriculture extension services, and farm investment support, are critical for assisting farmers managing risks. In addition, however, there should be ecosystem-specific policies to tackle the ecosystem heterogeneity.

This paper is very timely and entails some relevant policy implications for the development of Indian agriculture.

This study aims to discuss climate change, by modifying the timing of several agricultural operations, reduce the efficiency and yield of inputs leading to a lower production level. The reduction of the effects of climate change on production yields and on farmers' technical efficiency (TE) requires the adoption of adaptation strategies. This paper analyses the impact of climate change adaptation strategies adopted on maize farmers' TE in Benin.

This paper uses an endogeneity-corrected stochastic production frontier approach based on data randomly collected from 354 farmers located in three different agro-ecological zones of Benin.

Estimation results revealed that the adoption of adaptation strategies improve maize farmers' TE by 1.28%. Therefore, polices to improve farmers' access to climate change adaptation strategies are necessarily for the improvement of farmers' TE and yield.

The results of this study contribute to the policy debate on the enhancement of food security by increasing farmers' TE through easy access to climate change adaptation strategies. The improvement of farmers' TE will in turn improve the livelihoods of the communities and therefore contribute to the achievement of Sustainable Development Goals 1, 2 and 13.

This study contributes to theoretical and empirical debate on the relationship between adaptation to climate change and farmers' TE. It also adapts a new methodology (endogeneity-corrected stochastic production frontier approach) to correct the endogeneity problem due to the farmers' adaptation decision.