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This study assesses the relationship between job satisfaction, perceived organizational support and workplace factors on officer turnover intention within an urban, municipal police organization.

Using data from an online survey of New York City Police Officers (n = 1,823), both bivariate analysis and logistic regression models were utilized to assess the salience of police officer job satisfaction, perceived organizational support and perception of six workplace domains, including financial compensation, environmental factors, professional fulfillment, work/quality of life balance, treatment from management and occupational risk, on predicting turnover intention.

The cross-sectional study finds that job satisfaction, financial factors (salary, benefits and retirement benefits) and fulfillment predict lower levels of turnover intention (i.e. higher levels of organizational commitment). Work–life balance and environmental factors (cleanliness of work environment and condition of equipment) predict higher levels of turnover intention. Both perceptions of organizational support and occupational risk, while significant in the bivariate models, were not significantly associated after accounting for other factors. There is no evidence that officer perception of public support or the risk of being injured/killed at work were related to officer turnover intention.

The current study is limited by its focus on only one police department and its use of cross-sectional data, which may limit the generalizability of the results to agencies that differ in size and type and do not allow for assessment of causality.

Officer turnover intention may be reduced by increasing financial compensation, improving the work environment and promoting a healthy work–life balance.

The study contributes to a growing body of research on police officer voluntary turnover by evaluating established predictors along with workplace factors in an urban police department: the setting where officer turnover intention is hypothesized to be the greatest.

Digital transformation has gained particular interest among academics and policymakers in recent years. However, the empirical quantification of digital transformation stages and their impact on innovation in small and medium-sized enterprises (SMEs) remains understudied. Therefore, this study aims to investigate the impact of digital transformation stages on a differentiated measurement of innovation performance in SMEs.

The authors propose a simplified one-dimensional digital maturity path to estimate the stages of digital transformation in SMEs. The authors validate their approach with a cluster analysis and perform an ordered logistic regression to estimate the impact of digital transformation stages on SMEs' innovation performance.

The authors' results show that digital transformation in general has a positive impact on SMEs' innovation performance. More precisely, the authors find that the early stage of digital transformation has a detrimental effect on innovation performance, while significant and positive effects can be expected from the experimental stage onward. Furthermore, the advanced stage of digital transformation significantly increases the probability of producing radical innovations.

This study contributes to the ongoing discussion about the relationship between digital transformation and innovation in SMEs by presenting an approach to quantify digital transformation stages in SMEs. Additionally, this study provides new insights into the specific dynamics of the relationship between different stages of digital transformation and their impact on a differentiated measurement of innovation performance, including technological, non-technological and radical innovation.

A substantial body of literature discusses the motivations and intentions behind participation in hospitality and tourism (HT). However, a coherent framework for systematically studying the antecedents, interactions and differences of non-participation is lacking. This paper aims to comprehensively identify the mechanisms behind non-participation in HT activities by conducting a critical review focusing on unequal rights.

This study commences by focusing on a review of research on HT constraints, drawing upon the theory–context–method framework. Subsequently, a critical evaluation is adopted to clarify the constraints at different levels within the socio–ecological model (SEM) and explore the underlying mechanisms from the perspective of substantive rights within self-determination theory.

This study identifies the most common theories and methods related to non-participation in HT and explores features of non-participating groups across different countries. In addition, the SEM facilitates the coding of reasons for non-participation in HT into 40 initial concepts, 14 categories and 5 levels. The non-participation of HT model (NPHTM) recognizes three interactive mechanisms of rights inequality: autonomy, relatedness and competence rights.

Theoretically, this study integrates the internal negotiation process with the external opportunity inequality, extending the existing research. The identified constraints facilitate qualitative coding and the identification of quantitative variables for future studies. The proposed NPHTM framework deepens understanding of individual−environment interactions and extends to other domains. Practically, this study enables all HT stakeholders to develop targeted strategies for effectively promoting participation from diverse perspectives.

The research pioneers the review of mechanisms behind non-participation in HT by considering rights inequality as the core context. The concepts and categories within the SEM assist in targeted promotion efforts. The proposed NPHTM analyzes non-participants’ underlying mechanisms, external effects and individual rights of non-participants, thereby extending the research knowledge base.