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The surge of digital technologies and information communication technologies poses a challenge to traditional placemaking, influencing how people live, communicate and connect with their environments. In response, placemaking practices are integrating emerging digital technologies, giving rise to digital placemaking. This digital approach aims to present new opportunities for establishing a sense of place, encouraging unique interactions and adding value to communities in social, economic, cultural and environmental aspects.

This paper aims to examine the current landscape of digital tools and apps that facilitate digital placemaking. Conducting an extensive literature review, the research evaluates these tools based on their positive contributions to placemaking, categorizing them according to the aspects they enhance in the placemaking process. These aspects include social dynamics, cultural influences, environmental considerations, artistic qualities, heritage preservation, support for human well-being, urban development and opportunities for digital collaboration among citizens. Additionally, the paper explores digital pedagogy for placemaking, analyzing various tools for their educational approach, knowledge production methods and learning outcomes.

The findings indicate a growing trend in utilizing digital tools for placemaking, driven by technological advancements like augmented and virtual reality, artificial intelligence and the internet of things. Similar to traditional placemaking, digital practices are collaborative and context-dependent, requiring engagement from multiple stakeholders for optimal success. Notably, successful digital placemaking apps often incorporate interactivity and multimodality. Digital collaborative platforms can significantly impact placemaking and sustainable urban design, serving as effective tools for both bottom-up and top-down knowledge production and learning related to placemaking.

The findings of this study must be seen considering certain limitations. The scoping review utilized analysis of most relevant bibliometric databases, however, in the domain of digital placemaking there are undertakings by private companies, nongovernmental as well as governmental organizations which are not cited in the scientific databases. This limitation was tackled by using conventional search engines like Google and Bing to identify and study such projects. Also, it must be noted that the digital domain is rapidly developing and being integrated in digital placemaking. Even more, the artificial intelligence technology, which is being applied across all disciplines, with so far unforeseen possibilities, should be further examined how it is being adopted and implemented in the domain of digital placemaking and which are its impacts in the placemaking processes and outcomes.

Despite these advancements, many digital tools lack a comprehensive approach to address the various aspects of sustainability in placemaking. Consequently, further research is needed to develop digital tools that adopt a holistic approach, ensuring justifiability and feasibility in social, environmental and economic terms. Furthermore, in alignment with the goals of the EU Green Deal, incorporating Circular Economy principles into the development of new digital placemaking methods and tools is crucial.

As school districts evolve in their ability to actively support schools and educators, they must simultaneously contend with external policies that create additional demands on time and resources. This includes accountability policies aimed at increasing district and school capacity. This study uses Malen and Rice’s (2004) dual dimensions of capacity building to look at how district and charter leaders responded to the demands of Michigan’s Partnership Model, a district-based approach to school turnaround, focusing on how they tried to build capacity in response to the policy and whether and why these capacity building approaches were perceived as productive.

Semi-structured interviews were conducted with 22 out of 29 Partnership leaders between October 2019 to March 2020 in the second year of policy implementation. Data were analyzed using a combination of index-coding and thematic analysis.

Most leaders perceived the resources associated with the reform as useful, but the productivity of capacity building efforts was limited because some resources were not adequately matched to what they perceived as a core problem: the recruitment and retention of teachers. Engagement with the reform resulted in building informational and social capital because it fostered collaboration and continuous improvement processes, but leaders perceived technical partnerships as more productive than community partnerships.

Turnaround reforms like the Partnership Model that increase resources for districts and schools likely offer a better chance at success than those that simply focus on accountability threats without accompanying support because they give leaders new opportunities to coordinate and align resources, processes and ideas.

The increased digital interactions in the B2B industry have enhanced the importance of customer engagement as a measure of firm performance. This study aims to map and analyze temporal and spatial journeys for customer engagement in B2B markets from a bibliometric perspective.

The extant literature on customer engagement research in the B2B context was analyzed using bibliometric analysis. The citation analysis, keyword analysis, cluster analysis, three-field plot and bibliographic coupling were used to map the intellectual structure of customer engagement in B2B markets.

The research on customer engagement in the B2B context was studied more in western countries. The analysis suggests that customer engagement in B2B markets will take centre stage in the coming times as digital channels make it easier to track critical metrics besides other key factors. Issues like digital transformation, the use of artificial intelligence for virtual engagement, personalization, innovation and salesforce management by leveraging technology would be critical for improved B2B customer engagement.

The study provides a comprehensive reference to scholars working in this domain.

The study makes a pioneering effort to comprehensively analyze the vast corpus of literature on customer engagement in B2B markets for business insights.

This paper aims to examine whether information technology (IT) managers’ virtual listening, as rated by their high-tech employees, affected turnover behaviour beyond a new constellation of variables, some of which have never been researched as antecedents of turnover behaviour, particularly during a pandemic or crisis. Namely, the main aim, among others, is to answer the research question: does IT employees’ perception of the quality of their supervisors’ virtual listening in the pandemic and crisis era, when employees and managers work remotely, will negatively affect turnover behaviour? If yes, in which constellation of antecedents the virtual listening effecting on turnover behaviour?

Logistic regression analysis was conducted to test the hypotheses via SPSS 26 and PROCESS (Model 6). The variance inflation factor was calculated to test multicollinearity. Interaction was tested using the Hayes and Preacher PROCESS macro model. The researchers also used the J-N technique test (Johnson–Neyman via process). The supplemental analysis used also PROCESS MACRO (IBM Corp., Armonk, NY, USA, 2023) Model 4 and Bootstrap test.

The findings show that perceptions of supervisors’ virtual listening quality as rated by their employees moderated the relationship between organisational deviance as a type of organisational misbehaviour (OMB) and turnover behaviour and had the strongest effect on turnover behaviour beyond other key predictors (organisational deviance as a type of misbehaviour, turnover intention, job satisfaction, embeddedness and alternatives in the labour market). Alternatives to current work moderated the association between the perception of managers’ virtual listening behaviour as rated by their employees and turnover behaviour. Specifically, when alternatives in the labour market were high or medium, the perceived quality of managers’ virtual listening reduced turnover behaviour. Finally, the perception of the IT employees supervisors’ virtual listening moderated the relationship between organisational deviance and turnover intention among high-tech employees.

Evaluating supervisor listening in the high-tech firm may have value in terms of its relationship to outcomes such as retaining employees, turnover intention and especially turnover behaviour. The effect on turnover behaviour and of that new constellation of antecedents on turnover behaviour when people work remotely was not researched yet and important for the post COVID-19 era. Additionally, in contrast to most studies of turnover, this study also focus on the positive aspects of turnover and especially turnover behaviour to organisations in general and especially to high-tech firm and not just the negative aspect as was researched until now. Another contribution is the finding that when employees perceived their managers’ virtual listening quality as high, the effect of deviance as a type of OMB on turnover behaviour was positive. Namely, the listening as a moderator and turnover assisted in making the organisation cleaner from inappropriate behaviour. Additionally, when alternatives in the labour market are high or medium, perceived quality of virtual listening of managers as rated by their employees can reduce turnover behaviour. This virtual listening–turnover relationship and the moderator of alternatives to current work had not previously been found in the turnover literature and this is also significant a contribution to the turnover and withdrawal literature.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.