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This study examines the Robo-Advisors (RA) based on Artificial Intelligence (AI), a new service that digitises and automates investment decisions in the financial and banking industries to provide low-cost and personalised financial advice. The RAs use objective algorithms to select portfolios, reduce behavioural biases, and improve transactions. They are inexpensive, accessible, and transparent platforms. Objective algorithms improve the believability of portfolio selection.

This study adopts a qualitative approach consisting of an exploratory examination of seven different RA case studies and analyses the RA platforms used in the banking industry.

The findings provide two different approaches to running a business that are appropriate for either fully automated or hybrid RAs through the realisation of two platform model frameworks. The research reveals that relying solely on algorithms and not including any services involving human interaction in a company model is inadequate to meet the requirements of customers in decision-making.

This study emphasises key robo-advisory features, such as investor profiling, asset allocation, investment strategies, portfolio rebalancing, and performance evaluation. These features provide managers and practitioners with new information on enhancing client satisfaction, improving services, and adjusting to dynamic market demands.

This study fills the research gap related to the analysis of RA platform models by providing a meticulous analysis of two different types of RAs, namely, fully automated and hybrid, which have not received adequate attention in the literature.

We explore the relationship between urbanicity and police officers’ perceptions of changes in their reactive and proactive work during the COVID-19 pandemic.

Using the 2021 survey of 1,262 Croatian police offices (436 police officers from a large urban community, 471 police officers from small towns and 155 from rural communities), we examine the perceived changes in their reactive activities (e.g. responses to the calls for service, arrests for minor crimes) and proactive activities (e.g. community policing activities, directed patrols) during the peak month of the pandemic compared to before the pandemic.

The majority of police officers in the study, regardless of the size of the community where they lived, reported no changes before and during the pandemic in reactive and proactive activities. Police officers from urban communities and small towns were more likely to note an increase in domestic violence calls for service. Police officers from urban communities were also more likely than the respondents from small towns and rural communities to report an increase in the responses to the disturbances of public order. Finally, police officers from small communities were most likely to observe a change in the frequency of traffic stops during the pandemic.

This study is the first one to explore the differences in perceptions of COVID-19-related changes in reactive and proactive police activities in a centralized police system.

The sport industry, due to the great importance of intangible assets, represents a field of particular interest for the analysis of intellectual capital disclosure (ICD). However, this sector is still underexplored in the academic literature. This study aims to fill this gap by analysing the level of intellectual capital (IC) information disclosed by the most important basketball clubs on their website and the factors capable of influencing the dissemination of such information. Specifically, it examines the impact of social media visibility – in terms of number of social networks, number of posts, number of followers and internet visibility – on the ICD level.

Firstly, this study performs a manual content analysis of the websites of the top 80 European and US basketball clubs aimed at analysing the ICD level. Secondly, it provides for a regression analysis to test the impact of social media visibility on the amount of IC information disclosed.

Empirical results show a low level of ICD among the basketball clubs examined. They also demonstrate the positive impact of number of posts, number of followers and internet visibility on the amount of IC information disclosed online.

This study extends the analysis of the ICD to the sport industry, still little examined by the academic literature. In this regards, to the best of the authors’ knowledge, this is the first study to explore the ICD in the basketball industry.

Within food industry several changes and innovations are affecting the management of the entire supply chain (production, logistics, etc.). As strategy for the survival and competition, digitalization has assumed a crucial role during the pandemic emergence by causing the reconfiguration of traditional chains and business models. Framed in these premises, the research analyses how digital technologies have innovated the sub-chains of bakery products and pasta within food industry with reference to customers' interactions, delivery and marketing during the COVID-19 pandemic emergence.

Moving from a critical literature review about the perspectives of digital technologies within the tradition of food industry, action research has been adopted to analyze in deep a case study of the start-up “ArteBianca Delivery” located in South Italy. Through this method, researchers have been deeply involved within the start-up to face the challenge of transforming the marketing and customer care into digital ones due to the COVID-19 restriction.

Findings provide empirical evidence about the reconfiguration of the traditional business model of a family firm in the food sector into a digital one with the start-up “ArteBianca Delivery”. The marketing, delivery, e-commerce and customer care components of the business models have been supported and enhanced through the adoption of digital tools, such as mobile applications and social technologies useful both for users and for a more urgent digitization of company.

Implications for practice can be identified into the pattern of digital transformation implemented as well as in the opportunity of replication and contextualization of the results to other companies looking for setting up a digital strategy.

Elements of original contribution can be identified into: (1) the exploration of digital transformation in food family firms caused by the pandemic emergence, (2) the contextualization of the digital transformation to the sub-chains of bakery and pasta and (3) the geographical location of the case.

Social media are emerging as the ideal channel for building one-to-many communication and disseminating intellectual capital (IC) information. Their rise is bringing out new research challenges to investigate the implications of their use. However, there needs to be more research contributions relating to the financial benefits of using social media for IC disclosure (ICD). This study aims to bridge this gap by analyzing, under the lens of signaling theory, the effect of ICD through Twitter on firm value.

This study is based on a content analysis of tweets disseminated by 262 companies aimed at examining the amount of IC information disclosed and on a regression analysis aimed at analyzing the impact of this type of information on firm value.

Empirical results show that a large ICD via Twitter favors an increase in firm value. They also demonstrate that disclosing information relating to the three IC dimensions positively affects the firm value. These findings suggest that actively and comprehensively communicating IC information via Twitter can help improve the perception and evaluation of the company by investors and other stakeholders.

This study offers empirical evidence about the financial benefits associated with using social media as disclosure tools by companies. It also enriches the literature on the relationship between ICD and firm value and consolidates the goodness of the signaling theory as an ideal theoretical perspective to frame the relationship between IC information and firm value.

This study offers important managerial implications for firms and investors. In light of the significant financial benefits, firms should use social media to disclose IC information and should seek to increase their visibility on such platforms to convey the information to a greater number of users. Investors should also heed social media when gathering IC information, combining the analysis of these platforms with that of traditional corporate documents.

This study enriches the limited literature on ICD via social media and extends knowledge about the relationship between IC information and firm value. In this regard, the originality also lies in the individual analysis of the impact of the three IC dimensions on firm value.

A considerable amount of police evaluation research focuses on innovative approaches to reduce crime at places. This is hardly coincidental; policing and place-based scholars have found crime is highly concentrated, and when police focus on these places, they can prevent and reduce crime. The regularity of such findings led Weisburd (2015) to assert the existence of a “law of crime concentration.” Given that bold assertion, the authors test whether the law of crime concentration is generalizable to one of the most common public safety concerns that police handle—traffic crashes.

To determine whether the law of crime concentration applies to traffic crashes, the authors examined crash locations and times in all counties in Utah across four years. Following and expanding on Weisburd's methods, the authors calculate the bandwidth of concentration for these crashes and analyze various types by severity and possible explanations for variations in crash concentrations across the state.

A small proportion of street segments and intersections experience a disproportionately high number of crashes, and the degree of concentration of crashes may be even higher than that of crime. Further, there are variations in the levels of crash concentration across counties and in the severity of injuries resulting from the crashes.

Place-based criminologists and policing scholars have not often explored traffic crashes in their analyses. Yet, traffic problems take up a significant amount of law enforcement time and resources and are often priorities for most law enforcement agencies. Given what the authors know from traffic, policing and crime and place research, targeted approaches at micro traffic crash hot spots can be beneficial for public safety prevention.

This study is the first to explore the application of Weisburd's Law of Crime Concentration to traffic crashes. Given that police spend a significant amount of time and resources on traffic-related problems in their jurisdiction, finding more effective, evidence-based approaches to address this public safety concern should be a high priority for police and researchers alike.

In the landscape created by digital transformation, developing the ability to adapt and innovate by absorbing and generating new knowledge has become a strategic priority for organizations. The theory of dynamic capabilities, especially from a knowledge-based perspective, has proven particularly useful in studying the phenomena of transformation and change. Moving from this premise, this paper aims to map the state of research and to define guidelines for the actualization of dynamic capabilities theory in the digital transformation era.

A structured literature review of 75 papers, using descriptive, bibliographic and content analysis, was performed to analyze the evolution of dynamic capabilities in the context of digital transformation.

Studies concerning knowledge-based dynamic capabilities for digital transformation have been clustered into five main research areas: the micro-foundation of dynamic capabilities for digital transformation; dynamic capabilities for value creation in digital transformation; dynamic capabilities for digital transition in specific industries; dynamic capabilities for “data-driven organizations”; and dynamic capabilities for digital transformation in SMEs and family firms. A future research agenda for scholars in strategic management is presented.

A conceptual framework and a future research agenda are presented to highlight directions for this promising research field concerning the renewal of dynamic capabilities in the context of digital transformation.

The originality of the paper lies in the conceptual framework aiming to systematize current research on knowledge-based dynamic capabilities for digital transformation and to provide a new conceptualization of digital dynamic capabilities, clarifying how organizations create and share knowledge in the era of digitalization.

This study aims to investigate the impact of job burnout on job satisfaction and the intention to change occupation within the accounting profession. It also examines the mediating role of psychological well-being.

A descriptive research design was used in this study. Survey data were physically collected from 230 accounting employees in the private sector. Structural equation modeling was used to test the theoretical model.

The results showed that job burnout significantly affects psychological well-being and that psychological well-being significantly mediates the relationship between job burnout and job satisfaction, as well as between job burnout and the intention to change occupation.

This study has significant implications for accounting organizations, suggesting the adoption of strategies to promote psychological well-being. These initiatives have the potential to enhance job satisfaction and reduce accountants’ intention to change their profession.

This study contributes to the existing literature by highlighting the mediating role of psychological well-being in linking job burnout with job satisfaction and the intention to change occupation among accounting professionals.

This study aims to examine the relationship between selfishness, moral justification and intention to fraud among accounting certified professionals. It focuses on the role of moral justification in explaining the link between selfishness and intention to fraud.

Data were collected with the help of a structured questionnaire. The final sample includes 240 accounting certified professionals. To test the hypothesized model in this study, IBM AMOS ver26 was used to perform the structural equation modeling.

The results of this study show that selfishness has no direct impact on the intention to commit fraud. However, selfishness does have a positive impact on moral justification. Furthermore, the study found that moral justification mediates the relationship between selfishness and fraud intention.

This study provides important implications for accounting firms and other organizations and recommends that they implement the necessary practices to reduce the fraudulent intentions of certified accounting professionals while simultaneously reducing selfishness and moral justification.

This research is among the few studies in the accounting field that address the mediating role of moral justification in the relationship between selfishness and fraud intention among certified accounting professionals.

We present the results of one of the only in-depth studies of a police agency’s internal and external response to the coronavirus pandemic of 2020 (COVID-19). This study emphasizes the importance of law enforcement agencies conducting comprehensive case studies and after-action assessments to prepare, prevent and respond to prolonged public health crises and showcases the profound (and lingering) effects of COVID-19 on police organizations.

This multi-method case study combines document analysis, a workforce survey, a community survey, interviews and analysis of administrative data to detail and assess the agency’s internal and operational responses to the pandemic and the reactions of employees and community members to those responses.

Despite agency strategies to mitigate the pandemic’s effects, employees cited very high stress levels one year after the pandemic and a third of sworn officers considered leaving the policing profession altogether during the first two years of the COVID-19 pandemic. Several policies intended by the agency to protect employee health and maintain staffing needs kept workforce levels steady but may have increased feelings of organizational injustice in both sworn and non-sworn individuals, with variation across racial and gender groups. A jurisdiction-wide community survey indicated general support for the police department’s responses but a preference for in-person rather than telephone-based responses to service calls. Officers, however, preferred continuing remote responses even after the pandemic subsided.

To the best of our knowledge, this is one of the only in-depth case studies that examine a police agency’s internal and external responses to COVID-19 and the sworn, non-sworn and community reactions to those responses.