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This study examines the sequential mediating role of employee organisational commitment (EOC) and innovation on the relationship between budgetary participation and competitive advantage. Data were collected from a mail survey questionnaire of 86 Australian organisations with PROCESS applied to analyse the data. The study's findings make a significant contribution to the budgetary participation and behavioural management literature and practice. Specifically, the study provides a theoretical insight into the role of an important employee behavioural factor, EOC and innovation in mediating the relationship between budgetary participation and competitive advantage. In particular, the findings inform practitioners that budgetary participation influences the EOC of employees and subsequently influence competitive advantage through exploratory innovation.

This chapter is a retrospective commentary on the efficacy of teaching and learning in a higher education space that embraces the incredible diversity of delivery modes available in the post-Covid-19 era of “Smart Cities.” The current reality of widespread and leading-edge experimentation with online learning necessitates that existing brick-and-mortar institutions reimagine their places as providers of higher education in this new age of digital disruptions that will resonate with all stakeholders a future of endless possibilities. The authors, with four decades between them of practice and field research at leading universities and colleges in Australia, Canada, New Zealand, Singapore, and UAE, advocate an approach to higher education that is personalized for learning effectiveness, industrial operations, and institutional evolution; that is, a higher education that is democratized. They warn that the wasted opportunities of meaningful digital transformation pre-Covid-19 have led to an urgency of transformation at the present time. While randomized control trials continue to be the “elephant in the room”; scholars, leaders, technocrats, and regulators must drive the quest for the growth and relevance of a diversified and learner-driven higher education in the years ahead. The platform of a “smart city” may just be the catalyst for such a radical innovation.

A more accurate comprehension of data elements and the exploration of new laws governing contemporary data in both theoretical and practical domains constitute a significant research topic.

Based on the perspective of evolutionary economics, this paper re-examines economic history and existing literature to study the following: changes in the “connotation of production factors” in economics caused by the evolution of production factors; the economic paradoxes formed by data in the context of social production processes and business models, which traditional theoretical frameworks fail to solve; the disruptive innovation of classical theory of value by multiple theories of value determination and the conflicts between the data market monopoly as well as the resulting distribution of value and the real economic society. The research indicates that contemporary advancements in data have catalyzed transformative innovation within the field of economics.

The research indicates that contemporary advancements in data have catalyzed disruptive innovation in the field of economics.

This paper, grounded in academic research, identifies four novel issues arising from contemporary data that cannot be adequately addressed within the confines of the classical economic theoretical framework.

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.

This paper aims to explore the use of digital technologies in enabling circular ecosystems. We apply supply network (SN) configuration theory and a novel resource pooling lens, more typically used in financial systems, to identify inventory pools, information repositories and financial exchange models among network actors.

Five in-depth circular SN case studies are examined where digital technologies are extensively deployed to support circularity, each case representing alternative SN configurations. Data collection involved semi-structured interviews to map SN and resource pooling configurations across each circular ecosystem, with cross-case analysis used to identify distinct pooling and digital strategies.

Results suggest three digitally enabled circular ecosystem archetypes and their related governance modalities: consortia-based information pooling for resource recovery, intermediary-enabled material and financial pooling for remanufacturing and platform-driven information, material and financial pooling for resource optimisation.

Drawing on SN configuration and resource pooling literature, we recognise distinct configurational, stakeholder and resource pooling dimensions characterising circular ecosystems. While this research is exploratory and the identified archetypes not exhaustive, the combination of resource pooling and configuration lenses offers new insights on circular ecosystem configurations and the critical role of resource pools and enabling digital technologies.

We demonstrate the utility of the resource pooling and configuration approach in the design of digitally enabled circular ecosystems. These archetypes provide practitioners and policymakers with alternative design frameworks when considering circular SN transformations.

This paper introduces a resource netting and pooling configuration lens to circular ecosystems, analogous to financial systems, where cyclical flows and stock are critical and enabled through digital technologies.

Belgium has consistently produced world-class footballers, outperforming many larger football associations despite having a smaller talent pool and fewer resources. This paper aims to (1) examine the development pathways of Belgian professional players over the past decade and (2) quantify the role of opportunities in European leagues outside the “Big 5” for a comparative analysis of different player development systems. By exploring how Belgian players progress through various leagues and systems, this study seeks to identify strategic insights that can inform the development practices of both Belgian football and other European nations with similar constraints.

Data on player performance were collected over ten seasons (2013/14 to 2022/23) from 15 European leagues, including the “Big 5” (England, France, Germany, Italy and Spain) and ten other prominent leagues (Austria, Czech Republic, Denmark, Greece, Netherlands, Poland, Portugal, Scotland, Switzerland and Turkey). The variables collected included player name, nationality, team, league, season, appearances, minutes played, age and position. For Belgian players in the sample, the youth academies they attended were also noted.

Belgian players have achieved significant success, particularly in terms of transitioning into the “Big 5” leagues. However, the number of “home-grown” players making appearances and gaining minutes in the Belgian league is relatively low (ranking 13th of the 15 leagues studied). In contrast, Belgian players rank third in terms of total minutes played in the “Big 5” leagues, behind Portuguese and Dutch players. Anderlecht was the most successful Belgian club in developing professional players, and other key contributors were clubs with consistent Champions League participation.

While substantial research exists on player development in the “Big 5” European leagues, comparatively little attention has been given to other significant European leagues. This paper addresses that gap by examining the role of smaller leagues in developing young talent, despite their limited resources and reduced access to Europe's elite competitions. The findings highlight the need for policy reforms and strategic improvements at both the national and European levels to enhance player development pathways.

Decision-makers often struggle to combine advice with their own intuition. This study examines how advice-giver traits and decision-makers’ intuition influence advice uptake. We present a novel typology based on decision-makers’ trust in advice-givers and their perceived expertise.

This qualitative study uses a sample of publicly available interview data with 51 elite performers. Using inductive and content analysis, we explore the mediation between decision-makers’ intuitive competence (ability to effectively deploy intuition in interface with advice) and their autonomy (self-endorsement from past performance).

We identify four sources of advice: mentor advice, specialist advice, confidant advice and commentator advice. Drawing on instances of different sources of advice along varying degrees of trust and expertise, we propose a framework for interaction between intuitional competence and advice characteristics.

We offer a novel way of contextualising nuanced forms of advice and provide a structured typology of sources, characterised by trust and expertise. This typology and our findings help reconcile contradictions in decision-making research. Finally, we offer practical guidance for the uptake of advice.

The paper aims to develop and validate an instrument to measure users’ perceptions of online personalized advertising.

First, we identified 12 different aspects of online personalized advertisement and formulated candidate items through a literature review. A card sorting study and expert review were conducted to generate the initial scale items. We then conducted one survey (n = 308) to create a reliable measurement instrument and another (n = 296) to validate the instrument. Finally, we tested how the dimensions of the OPAD-Perception Framework can be used to differentiate between different levels of ad sensitivity, control/no control over the ad personalization process, and different levels of granularity of ad explanation.

The resulting OPAD-Perception Framework contains 49 Likert-formatted questions measuring ten distinct dimensions of online personalized advertising: reliability, usefulness, transparency, interactivity, targeting accuracy, accountability, creepiness, willingness to rely on, self-actualization, and persuasion.

The OPAD-Perception Framework can serve as a powerful tool to measure users’ attitudes toward online personalized advertising. This will enable advertisers and social media platforms to better support users’ privacy expectations and provide user-friendly interfaces for controlling the ad personalization process.