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This paper aims to present spot pattern welding (SPW) as a scanning strategy for laser-foil-printing (LFP) additive manufacturing (AM) in place of the previously used continuous pattern welding (CPW) (line-raster scanning). The SPW strategy involves generating a sequence of overlapping spot welds on the metal foil, allowing the laser to form dense and uniform weld beads. This in turn reduces thermal gradients, promotes material consolidation and helps mitigate process-related risks such as thermal cracking, porosity, keyholing and Marangoni effects.

304L stainless steel (SS) feedstock is used to fabricate test specimens using the LFP system. Imaging techniques are used to examine the melt pool dimensions and layer bonding. In addition, the parts are evaluated for residual stresses, mechanical strength and grain size.

Compared to CPW, SPW provides a more reliable heating/cooling relationship that is less dependent on part geometry. The overlapping spot welds distribute heat more evenly, minimizing the risk of elevated temperatures during the AM process. In addition, the resulting dense and uniform weld beads contribute to lower residual stresses in the printed part.

To the best of the authors’ knowledge, this is the first study to thoroughly investigate SPW as a scanning strategy using the LFP process. In general, SPW presents a promising strategy for securing embedded sensors into LFP parts while minimizing residual stresses.

This study aims to extend our knowledge of how leadership shapes the consequences of team age diversity. Specifically, we adopt a relational perspective on leadership to examine how two distinct aspects of LMX composition among team leaders and their team members—i.e. team LMX quality and team LMX differentiation—affect the link between age diversity and team performance.

Hypotheses are tested via ordinary least squares regression and data for 64 work teams at a major hospital, which were provided by 526 team members and their respective team leaders.

Results reveal that team LMX quality and LMX differentiation both qualify the performance implications of team age diversity. While team LMX quality has a positive moderating effect, the moderating influence of team LMX differentiation is negative.

To reap the performance potential of age diversity, leaders need to serve as role models by investing in high-quality relationships with all their team members. When leading age-homogenous teams, leaders may consider differentiating their LMX relationships.

The present study contributes to a better understanding of the interplay between leadership and age diversity and helps to extend our knowledge of LMX as a team-level phenomenon.

The purpose of this study is to test whether presenting organizational change in a way that promotes the status quo will result in increased employee support for the change.

Using quantitative methodology, categorical data were collected through an online cross-sectional survey in which 222 adult respondents participated. The items used vignette-based question blocks with fixed response options. Item responses were analyzed using an exact binomial test – focusing on the relationship between status quo bias and other responses to change communications.

The findings demonstrated that status quo bias has an association with employee sensemaking. These results suggest that status quo bias can be utilized by organizational leaders and change practitioners to endorse change efforts. Furthermore, it not only appears that promoting what is staying the same but also including a small reason to justify the change can bring additional advantage. Advertising a vision of radical transformation is problematic as it may actually heighten employee resistance.

This research explores and presents a convergence between organizational change management and behavioral economics – specifically, status quo bias. No other comparable study collecting data across a number of organizational change themes and critiquing existing change management models could be found during the preparation of this research effort.

We integrate trait, individual differences and substitutes for leadership theories to examine how leader trait anger influences leader vision and follower trust in the leader across high versus low levels of organizational formalization.

We obtained data from two independent multi-source samples from different occupations and countries. Sample 1: leader–follower dyads (n = 179) collected over three measurement periods from the Philippines; Sample 2: cross-correlational sample of leaders (n = 166), their manager (n = 166) and their followers (n = 610) from Australia.

We tested our hypotheses using PROCESS (Hayes, 2018) and found that leader trait anger influenced follower trust in the leader both directly and indirectly through leader vision (Samples 1 & 2). We also found that organizational formalization neutralized the effect of leader vision on follower trust in the leader (Sample 2).

While we used a time-lagged design in Sample 1, we cannot make strong causal claims as might be the case in an experimental study, for example.

Our results highlight the adverse effect of leader trait anger on perceptions of leader vision and follower trust in the leader, which we suggest should be considered in recruitment and promotion decisions. Our findings also suggest that high levels of organizational formalization may undermine the motivational effect of leader vision on followers, which should be considered in relation to organizational rules and procedures.

This research enhances our understanding of a previously unexplored boundary condition (i.e. organizational formalization) that appears to neutralize the motivational effect of leader vision. In addition, it highlights the ubiquitous effect of trait anger, in this case undermining the effectiveness of leader vision and trust in the leader, from two different observer perspectives (i.e. leaders’ followers and managers).

Bootstrapping is a practitioner-based term adopted in entrepreneurship to describe the techniques employed in micro, small and medium-sized enterprises (MSMEs) to minimise the need for external funding by securing resources at little or no cost and applying strategies to effectively use resources. Working capital management (WCM) is a term used in financial management to define a set of practices used to manage business resources, including cash management. This paper explores the overlap and divergence between these two disciplinary distinct concepts.

A dual methodology is employed. First, the usage of the two terms in prior literature is analysed and synthesised. Second, the study uses factor analysis to explore how bootstrapping practices described by owners of 167 established MSMEs relate to the components of WCM in financial management.

The factor analysis identifies two main bootstrapping practices employed by MSMEs: (1) delaying payments and owner-related bootstrapping and (2) customer-related bootstrapping. Delaying payments is an integral practice in trade payables management and customer-related bootstrapping includes practices that are integral to trade receivables management. Therefore, links between bootstrapping practices and WCM practices are firmly established.

The study is not without limitations. Based on cross-sectional evidence for established firms in Ireland only, future studies could explore cross-country longitudinal panel data to fully examine life cycle and sectoral effects, as well as other external shocks (for example, COVID-19) on bootstrapping and WCM practices. This study does not explain why some factors (for example, joint utilisation and inventory management) are present in some bootstrapping studies and not in others; further case study research might help explain this. Finally, changes in the business environment facing start-ups and established enterprise, including increased digitalisation, online trading, self-employment, remote hub working and sustainability, offer new avenues for bootstrapping research.

This is the first study to comprehensively explore the conceptual and empirical links between bootstrapping and WCM. This study will enable researchers and practitioners in these two distinct disciplines to learn from each other. Accounting researchers and practitioners can broaden their understanding of how WCM “works” in MSME settings. Similarly, entrepreneurship researchers and practitioners can deepen their understanding of how bootstrapping can be adopted by businesses to manage resources effectively.

Reducing meat consumption requires significant effort from individuals. Such shifts in diet can be compelling examples of radical lifestyle change. The article explores factors that may trigger radical behavioural change. Decreased meat consumption yields environmental and health advantages; nevertheless, individuals often neglect to adopt this change in their diet.

The conceptual model is based on Fogg’s behavioural framework. The research is based on a survey, where respondents have already changed their lifestyles and reduced their meat consumption in the past. Respondents were recruited from social media groups in Hungary. Particular emphasis is put on the deeper analysis of open-ended questions. The coding process proposed by Strauss and Corbin was followed. Coding and analysis were supported by NVivo software.

Motivations, abilities and triggers of dietary changes were identified. Results revealed the prominent role of content creators. Influencers and social media can play an incubator role in diffusing new consumption patterns. Strong emotional experiences can also trigger radical lifestyle changes. Discouraging voices were mainly those of family and close acquaintances. Children tend to encourage parents, while parents tend to discourage children when it comes to reducing meat consumption.

Behaviour change theories primarily focus on incremental changes, yet there is a growing need to understand radical lifestyle changes related to food consumption. This article explores the triggering factors of such radical dietary changes. The study is a rare example of large-scale qualitative sustainable consumption research.

The aim of this research is twofold: (1) to investigate when the effect of R&D investment on New Product Development (NPD) performance peaks – the sweet spot and (2) to analyze the influence of firms’ export activities on where that spot is. Drawing on the knowledge-based view (KBV), we argue that export intensity and export experience lead to differential effects on how R&D investments are converted into new products.

We test our conceptual framework using time lagged data and optimal-level analysis. The dataset consists of an unbalanced panel of 608,891 observations and 333,516 firms.

The results support the expected inverted U-shaped relationship between R&D investment and NPD performance. They also show moderating effects of export intensity and experience. Export intensity enhances innovation processes by enabling firms to stretch the points at which R&D investments eventually taper off. In contrast, export experience improves firms’ ability to convert R&D investments into NPD performance. Our results demonstrate that, all else equal, firms with relatively higher export experience can spend less on R&D and still achieve higher levels of NPD performance.

We contribute to the literature by investigating how export activities provide a valuable context for understanding the theoretical mechanisms that help explain the inverted U-shaped relationship between R&D investment and innovation. We show the effects of exporting activities on the precise points where the R&D investment–NPD performance relationship peaks, thereby identifying the optimal point within this nonlinear relationship.

This study investigates the effects of two types of self-disclosure by influencers (i.e. personal self-disclosure and professional self-disclosure) on followers’ parasocial relationships with them and online engagement with their content, which eventually affect followers’ purchase intentions.

This study collected data based on a cross-sectional survey of 823 social media users. Structural equation modeling analysis was used to test the overall structural model and the mediating roles of parasocial relationships and engagement.

This study reveals that influencers’ personal self-disclosure has a positive impact on followers’ parasocial relationships with them and online engagement with their content. Interestingly, the results indicate an inverted U-shaped relationship between influencers’ professional self-disclosure and followers’ parasocial relationships, as well as online engagement with the influencers’ content. Furthermore, followers’ parasocial relationships and engagement partially mediate the impact of influencers’ personal and professional self-disclosure on followers’ purchase intentions.

This study contributes to the literature by revealing the underlying mechanisms of the differential effects of influencers’ personal and professional self-disclosure on followers’ purchase intentions.

The findings will assist marketers in leveraging influencer-generated content to enhance influencer marketing effectiveness.

This research provides a better understanding of the potential linear and nonlinear effects of influencers’ self-disclosure on followers’ parasocial relationships and engagement in social media marketing.