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This study explores factors that influence the initiation of leadership coaching relationships that include externally employed coaches and school administrators.

This qualitative research study includes semi-structured interviews, observations and documents collected across three academic years within the context of a university-based leadership coaching program. Participants included six leadership coaches and six school administrators who participated in the program.

Qualitative analysis indicates that gender and race, prior professional experience, pre-existing professional relationships and the complexity of the district’s organizational structure influence the initiation of the coaching relationship.

Confidentiality restrictions imposed by the program limit opportunities for member checking and other forms of triangulation. Additional data collection using more expansive research methods would help address this limitation.

This study contributes to the sparse literature about leadership coaching with school administrators by describing how different factors influence initiation coaching relationships.

Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what mechanisms contribute to variation in trust experience.

A total of 36 semi-structured interviews were conducted with Chinese suppliers using WeChat for business-to-business interactions. Data were analyzed in three steps: open coding, axial coding and selective coding.

Findings reveal that varied trust is based not only on the categories of social presence of interaction – whether social presence is embedded in informative interactions – but also on the perceived selectivity in social presence. Observer suppliers who experience selectivity during social and affective interactions create a perception of hidden information and an unhealthy relationship atmosphere, and report a sense of emotional vulnerability, thus eroding cognitive and affective trust.

The findings contribute new understandings to social presence theory by exploring the social presence of interactions in a supplier–supplier–customer triad and offer valuable insights into business-to-business social media literature by adopting a suppliers’ viewpoint to unpack the mechanisms of how social presence of interaction positively and negatively influences suppliers’ trust and behavioral responses.

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to an excessive data volume of the query result, which causes problems such as resource overload of the API server. Therefore, this paper aims to address this issue by predicting the response data volume of a GraphQL query statement.

This paper proposes a GraphQL response data volume prediction approach based on Code2Vec and AutoML. First, a GraphQL query statement is transformed into a path collection of an abstract syntax tree based on the idea of Code2Vec, and then the query is aggregated into a vector with the fixed length. Finally, the response result data volume is predicted by a fully connected neural network. To further improve the prediction accuracy, the prediction results of embedded features are combined with the field features and summary features of the query statement to predict the final response data volume by the AutoML model.

Experiments on two public GraphQL API data sets, GitHub and Yelp, show that the accuracy of the proposed approach is 15.85% and 50.31% higher than existing GraphQL response volume prediction approaches based on machine learning techniques, respectively.

This paper proposes an approach that combines Code2Vec and AutoML for GraphQL query response data volume prediction with higher accuracy.

This study aims to explore aesthetic atmospheres and their affordances in urban squares to advance knowledge on the research and design of attractive living environments.

Descriptions of pleasant and unpleasant experiences of urban squares were collected using qualitative questionnaires with open-ended questions. The theoretical framework and the lens of aesthetic affordances were applied to pinpoint and understand the connections between the place attributes and experiences.

This study found four distinct aesthetic atmospheres formed by perceived synergies of both the material and immaterial aspects of the environment. It was also found that the atmospheres may shift. A model that shows the aesthetic atmospheres and their potential affordances as layered and emerging is presented.

Everyday aesthetics considered as affordances open new research perspectives for the understanding of what generates attractive living environments – or not.

Aesthetics affordances may provide the design professionals and alike means on how to design places that engender specific aesthetic atmosphere.

Gathering and discussing commonplace aesthetic experiences in everyday life may enhance democratic participation in place development among people with different levels of design expertise.

This study combines theories of place with a novel concept of aesthetic affordances to identify distinct aesthetic atmospheres. A holistic overview structure of how the various constituents of aesthetic atmospheres relate to each other provides new ways of studying and understanding urban aesthetic atmospheres.