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This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.

This research seeks to highlight school partnerships as an approach to improving schools and halting the deterioration of their performance in an environment that has suffered from the consequences of conflict for more than a decade.

The research used the qualitative method, and the data were collected through semi-structured interviews with 20 school leaders and teachers.

The results showed the presence of positive attitudes toward inter-school partnerships and their perception of many benefits, the most prominent of which was increasing social cohesion in school and surrounding communities that suffer from divisions resulting from conflict. A set of obstacles includes legislative obstacles, a low degree of autonomy, low competency of school leaders, a lack of trust and incentives.

This study proposes a range of solutions to address the challenges associated with building partnerships. The research emphasizes the significance the school-to-school partnerships and their positive role in improving the performance of schools in developing countries, especially in environments suffering from the consequences of civil wars and social divisions.

The New Zealand city of Christchurch provides a leading example of post-disaster rebuilding in a Central Business District (CBD) area. In its rebuilding programme, the city has given emphasis to the greening of hospitality and traditional retail space through a combination of development of shared pedestrian spaces (with traffic exclusion and calming) and the integration of greening within the streetscape design. This paper aims to assess whether the development of greened pedestrian areas leads to higher retail spending and, thus, retail rental rates.

This study uses pedestrian movement data collected from several CBD locations, as well as spending data on retail and hospitality, to assess relationships between pedestrian movements and spending. This study explores retail spending in greened pedestrian shared spaces, and explores how this differs from retail spending in traditional street areas within the Christchurch CBD.

Spending patterns are location-related, depending on the characteristics of pedestrian space in the selected area. Greened shared pedestrian areas have the highest spending per measured pedestrian for retail and hospitality, whereas traditional street areas have lower spending for retail and hospitality per measured pedestrian, demonstrating the benefits in redeveloped central city areas.

The scope of smart data continues to develop as a research area within urban studies to develop an open and connected city. This research demonstrates the use of innovative technologies for data collection, use and sharing. The results support commercial benefits of greening and pedestrianisation of retail and hospitality areas for CBDs and providing an example for other cities to follow.

To achieve sustainable development in shipping, accurately identifying the impact of artificial intelligence on shipping carbon emissions and predicting these emissions is of utmost importance.

A multivariable discrete grey prediction model (WFTDGM) based on weakening buffering operator is established. Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. Subsequently, global data on artificial intelligence and shipping carbon emissions are employed to validate the effectiveness of our new model and chosen algorithm.

To demonstrate the applicability and robustness of the new model in predicting marine shipping carbon emissions, the new model is used to forecast global marine shipping carbon emissions. Additionally, a comparative analysis is conducted with five other models. The empirical findings indicate that the WFTDGM (1, N) model outperforms other comparative models in overall efficacy, with MAPE for both the training and test sets being less than 4%, specifically at 0.299% and 3.489% respectively. Furthermore, the out-of-sample forecasting results suggest an upward trajectory in global shipping carbon emissions over the subsequent four years. Currently, the application of artificial intelligence in mitigating shipping-related carbon emissions has not achieved the desired inhibitory impact.

This research not only deepens understanding of the mechanisms through which artificial intelligence influences shipping carbon emissions but also provides a scientific basis for developing effective emission reduction strategies in the shipping industry, thereby contributing significantly to green shipping and global carbon reduction efforts.

The multi-variable discrete grey prediction model developed in this paper effectively mitigates abnormal fluctuations in time series, serving as a valuable reference for promoting global green and low-carbon transitions and sustainable economic development. Furthermore, based on the findings of this paper, a grey prediction model with even higher predictive performance can be constructed by integrating it with other algorithms.

The purpose of this study is to develop an integrated conceptual framework to better understand the psychological pathways connecting consumer perceptions to purchasing intentions for premium sustainable products.

The study develops a conceptual model that theorizes relationships between consumer perceptions of a firm’s innovation, competitive advantage, sustainable practices and stakeholder orientation. It proposes that stakeholder orientation mediates the effects of these perceptions on consumers’ willingness to purchase premium sustainable products. Additionally, lifestyle is hypothesized as a moderator. The model advances knowledge through eight testable propositions.

The conceptual framework specifies indirect, mediated and moderated relationships that have not been fully captured by past literature. It theorizes that perceptions of a firm’s innovation, competitive advantage from sustainable practices and stakeholder orientation indirectly influence purchase willingness through the mediating role of stakeholder orientation. Lifestyle is proposed to moderate these relationships.

This conceptual model offers insights for cultivating consumer perceptions that strengthen a firm’s stakeholder image and endorsement of premium sustainable products. Its validated theoretical lens and propositions can provide strategic guidance for addressing the challenges of higher price points for sustainable products through capturing psychological drivers of values-based decision-making. Future empirical assessment is recommended to validate the specified relationships in the model.

This study examines principal rotation in China to gain empirical insights from the policy analysis and succession strategies that principals employ to gain internal and external support in their new schools.

We employed document analysis and a case study approach. Interviews were conducted with officials in 5 local educational agencies and 40 principals from 5 different regions who were undergoing rotation. Thematic analysis was used to identify common patterns and themes in the interview responses.

We explored how the principal-rotation policy was implemented, including the goals, standards, targeted principals, tools and other aspects of the policy in China. The study revealed the challenges faced by the rotated principals and their succession strategies.

Our study contributes to the field of educational leadership by shedding light on the implementation and impact of principal rotation in mainland China.

The purpose of this study is to investigate the role and features of internal online events (IOE) in organizations and measure their impact on employee outcomes (communication satisfaction and loyalty in active and passive forms).

The study conducted a mixed-method process – first, which involved three semistructured interviews in India, Russia and France, and the data were analyzed through a qualitative coding procedure. Subsequently, a survey was conducted among employees regarding their perceptions of IOE. One hundred eighty-four fully completed questionnaires were collected, and the results were analyzed using structural equation modeling.

The analysis of qualitative data revealed common patterns in IOEs in the organizations across India, Russia and France. The quantitative analysis showed the significant impact of IOEs on perceived communication satisfaction. Which in turn primarily stimulates the development of active employee loyalty rather than passive loyalty.

This study acknowledges that the samples were limited to only a few geographical regions of India, Russia and France. Also, the research is subject to sampling limitations due to snowball approach.

Internal communication (IC) managers can use this research findings to develop more effective IOEs to address organizational goals and create synergy-based positive outcomes (such as loyalty) within the employees of the organization.

Research contributes to exploring the role and characteristics of IOEs by applying engagement theory, emphasizing their capacity as a strategic IC channel to enhance employee involvement. Moreover, the study investigated the impact of IOEs on communication satisfaction and employee loyalty by applying affective events theory to communication.

This study aims to identify key built environment stakeholders in Sri Lanka and to understand their roles and responsibilities in tackling climate change. It also seeks to identify key challenges experienced by stakeholders.

Secondary data was systematically reviewed to identify key-built environment stakeholders in Sri Lanka. Thereafter, primary data was collected from a purposively selected sample of 40 built environment experts using a semi-structured interview schedule. The collected data was analyzed using the thematic analysis method.

The study identified built environment stakeholders in five sectors, namely, the state sector, the private sector, non-governmental organizations, academia and the general public. It was revealed that the state sector is responsible for policy formation and implementation, while the private sector acts as a financial facilitator. Academia generates and disseminates knowledge on climate change and community-based organizations provide inputs. Key skills and knowledge gaps of stakeholders include a lack of comprehension of the climate change theory and its concepts, lack of awareness on policies and legislation, lack of communication skills, language skills, digital proficiency and lack of integrated working skills. Unified action and equitable representation of all stakeholders is necessary to tackle climate change.

The original contribution of the paper is its emphasis on the importance of a multidisciplinary approach to the built environment in relation to climate change adaptations alongside its identification of key knowledge gaps among stakeholders.

The purpose of this paper is to assess the success factors in a large organization that contributed to the success of organizational transformation (OT) through business diversification using a complex adaptive systems (CAS) framework. This assessment is done to determine how well the CAS framework can explain the success factors that contribute to the success of large-scale organizational change in complex organizations. If the CAS framework is capable of explaining the organizational factors that lead to the success of change implementation, the managers can employ this framework to increase the likelihood of success while implementing change.

This study uses qualitative research methodology. The data were collected from the case study organization (CSO) through 40 in-depth semi-structured interviews and analyzed using thematic deductive analysis approach.

The CAS framework explains the success factors that contribute to the success of OT through business diversification.

This paper provides a comprehensive guide for change implementation by combining the insights from the CAS framework with identified success factors (for change implementation) from the case organization.

The originality of this paper lies in extending the principles of existing change models, for successful change implementation by using the CAS framework. The prescribed change models and the CAS framework/complexity theory are two distinct sets of literature; this paper successfully merges the two to develop a comprehensive set of guidelines for change implementation. By doing so, this paper highlights the fact that alternative, non-linear, change approaches, instead of conventional multistep change models, can be effective in implementing large-scale organizational change successfully given the complexities of current organizational environments.

The external business environment of the organization is always changing at a rapid pace. For a firm to adapt to changing client requirements, it must implement the right business procedures and strategies. To improve competitive advantage, this study investigates the roles that supply chain partnerships, cross-functional integration, responsiveness and resilience play in achieving competitive advantages in Palestine.

Industrial institutions in Palestine constitute the study population. Data are collected by distributing surveys via Google Forms linked to manufacturers in industries such as the Leather and shoe Industry, metal industries, chemical industries, construction industries, textile industries, stone and marble industries, pharmaceutical industry, veterinary industry, food industry, plastic industry, paper industry, major advantages and disadvantages. The SEM-PLS approach is used to analyze the data.

The findings demonstrate that supply chain responsiveness, resilience and cooperation are all improved by cross-functional integration in inventory data integration and immediate operation. Supply chain partnerships improve the supply chain’s responsiveness, resilience and competitive advantage by involving partners in work teams and exchanging best practices. The enhancement of supply chain resilience and competitive advantage is influenced by the company’s capacity to act promptly in response to variations in demands.

This paper faces some limitations and it can be drawn as follows: To enhance supply chain risk management, the study continues to concentrate on manufacturing organizations that have internal integration. It also emphasizes the necessity of supply chain integration, which establishes direct connections with outside partners.

The findings of this study suggest some policy implications, as follows: To provide the manufacturing sector with a competitive edge, operations supervisors must be able to track and assess processes to ensure they are meeting demand. Firms that possess the ability to adjust to novel procedures or advancements in technology gain a competitive edge by guaranteeing consistent and high-quality delivery of products.

By implementing IT integration, this study theoretically and practically advances the understanding of the resource-based view of competitive advantages. This study focuses on providing insights into the nature of the relationship between supply chain partnership, cross-functional integration, responsiveness and flexibility and competitive advantages in the manufacturing sector in the Palestinian market.