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The paper aims to raise awareness in the industry of design automation tools, especially in early design phases, by demonstrating along a case study the seamless integration of a prototypically implemented optimization, supporting design space exploration in the early design phase and an in operational use product configurator, supporting the drafting and detailing of the solution predominantly in the later design phase.

Based on the comparison of modeled as-is and to-be processes of ascent assembly designs with and without design automation tools, an automation roadmap is developed. Using qualitative and quantitative assessments, the potentials and benefits, as well as acceptance and usage aspects, are evaluated.

Engineers tend to consider design automation for routine tasks. Yet, prototypical implementations support the communication and identification of the potential for the early stages of the design process to explore solution spaces. In this context, choosing from and interactively working with automatically generated alternative solutions emerged as a particular focus. Translators, enabling automatic downstream propagation of changes and thus ensuring consistency as to change management were also evaluated to be of major value.

A systematic validation of design automation in design practice is presented. For generalization, more case studies are needed. Further, the derivation of appropriate metrics needs to be investigated to normalize validation of design automation in future research.

Integration of design automation in early design phases has great potential for reducing costs in the market launch. Prototypical implementations are an important ingredient for potential evaluation of actual usage and acceptance before implementing a live system.

There is a lack of systematic validation of design automation tools supporting early design phases. In this context, this work contributes a systematically validated industrial case study. Early design-phases-support technology transfer is important because of high leverage potential.

The purpose of this study is to describe the implementation of a digital-based team coaching intervention aimed at improving team communication in the workplace through social network visualization. The study examined recipients’ perceptions of the intervention at two time points and assessed the temporal stability of various factors, including the intervention’s integrity, design, transferability, acceptance and the usability of the adopted visualization tool. The moderating role of digital usability was also evaluated.

Four team coaching sessions were delivered to 62 participants from seven teams across three departments within a large public health-care organization in Northern Italy. Perceptions of the intervention dimensions were collected after the second and fourth sessions.

Results indicated that, at both time points, recipients appreciated the intervention’s integrity and usability more than its design, transferability and acceptance. Furthermore, no significant changes in recipients’ perceptions were observed over time. The transferability of the intervention was significantly associated with its acceptance, but only when the usability of the digital tool was high.

The study enriches existing literature on digital interventions in group communication by focusing on process dimensions like recipients’ perceptions of various aspects and the implementation process. Furthermore, the study underscores the potential of integrating specific techniques such as sociomapping and coaching within health-care organizations, encouraging more research and development in these areas.

The study emphasizes the critical role of usability and integrity in digital-based team coaching interventions, suggesting that high-quality, user-friendly tools not only lead to initial effectiveness but also sustain positive impacts over time, while also increasing transferability and acceptance.

The present study uniquely deploys a longitudinal approach to examine recipients’ perceptions of a digital-based intervention that combines social network visualization and team coaching to enhance team communication.

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

Recent research has demonstrated that people are more likely to engage with fatty food content online. One way health advocates might facilitate engagement with healthier, calorie-light foods is to alter how people process food media. This research paper aims to investigate the moderating role of viewer mindset on consumer responses to digital food media.

Two experiments were conducted by manipulating the caloric density of food media content and/or one’s mindset before viewing.

Results show that the relationship between nutrition and engagement is moderated by consumer mindset, where activating a more calculative mindset before exposure can elevate social media engagement for calorie-light food media content.

These findings contribute to the domain of obesogenic digital environments and the role of nutrition in consuming food media. By examining how mindsets interact with affective evaluations, this work demonstrates that a default mindset based on instinct can be shifted and thus alter subsequent behavioral intentions.

This work provides insight into what can boost the visibility and engagement of healthy food content on social media. Marketers can help promote healthier food media by cueing consumers to think more deliberately before exposure.

This research builds on recent work by demonstrating how to boost engagement with healthy foods on social media by cueing a more thoughtful mindset.

Laser sintering of polyamide lattice-based lightweight fairing components for subsequent racetrack testing requires a high quality and a reliable design. Hence, the purpose of this study was to develop a design methodology for such additively manufactured prototypes, considering efficient generation and structural simulation of boundary conformal non-periodic lattices, optimization of production parameters as well as experimental validation.

Multi-curved, sandwich structure-based demonstrators were designed, simulated and experimentally tested with boundary conformal lattice cells. The demonstrator’s non-periodic lattice cells were simplified by forward homogenization processes. To represent the stiffness of the top and bottom face sheet, constant isotropic and mapped transversely isotropic simulation approaches were compared. The dimensional accuracy of lattice cells and demonstrators were measured with a gauge caliper and a three-dimensional scanning system. The optimized process parameters for lattice structures were transferred onto a large volume laser sintering system. The stiffness of each finite element analysis was verified by an experimental test setup including a digital image correlation system.

The stiffness prediction of the mapped was superior to the constant approach and underestimated the test results with −6.5%. Using a full scale fairing the applicability of the development process was successfully demonstrated.

The design approach elaborated in this research covers aspects from efficient geometry generation over structural simulation to experimental testing of produced parts. This methodology is not only relevant in the context of motor sports but is transferrable for all additively manufactured large scale components featuring a complex lattice sub-structure and is, therefore, relevant across industries.

The paper assesses the role of natural resource rents in Nigeria's economy through the channel of institutional quality.

The analysis is done with the use of autoregressive-distributed lag (ARDL) bounds testing approach to cointegration, vector error correction model (VECM), Granger causality test and cointegrating regression over the period 1996–2019.

Findings support the notion that overreliance on natural resources could exacerbate the growing number of dysfunctional economic outcomes in the country. The study confirms that a mix of weak governance quality and natural resource rents could have a negligible effect on economic growth and possible retardation impact on the economy in the long run as well as in the short run. The evidence further reveals that there is unidirectional causality running from the interaction term to growth, suggesting that growth trajectory could be jointly determined by natural resource rents and the quality of institutions.

The divergent arguments associated with the mechanisms of resource curse in each of the resource-rich countries offer ample support for the contention that economic outcomes in resource-abundant states may not be a product of resource windfalls per se, but rather the quality of governance or ownership structure. Hence, the ultimate aim of the analysis is to further understanding on the link between resource rents and growth in Nigeria via governance channel.

This systematic review aims to examine integrating innovative work behavior through transformational leadership in the Saudi healthcare sector. A thorough literature research was carried out to address this problem.

A total of 50 papers reporting research on innovative work behavior, healthcare organizational performance and transformational leadership were included in the review.

As employees are motivated and developed, their innovative work behaviors are boosted, which improves organizational performance. It can be concluded that innovative work behavior and transformational leadership are correlated. The capacity of a healthcare company to create and execute benefits to the employees may assure service delivery efficiency in employees' performance.

This systematic review will allow contemporary advancements, efficient health status monitoring and reliable solutions that aid optimal, equal and effective treatment in Saudi’s healthcare industry.

In an innovative workplace, workers may pitch fresh ideas to their management. Hence, employees see their employer as more transformational.

This study identified how investor sentiment on Twitter is associated with Brazilian stock market return and trading volume.

The study analyzes 314,864 tweets between January 1, 2017, to December 31, 2018, collected with the Tweepy library. The companies’ financial data were obtained from Refinitiv Eikon. Using the netnographic method, a Twitter Investor Sentiment Index (ISI) was constructed based on terms associated with the stocks. This Twitter sentiment was attributed through machine learning using the Google Cloud Natural Language API. The associations between Twitter sentiment and market performance were performed using quantile regressions and vector auto-regression (VAR) models, because the variables of interest are heterogeneous and non-normal, even as relationships can be dynamic.

In the contemporary period, the ISI is positively correlated with stock market returns, but negatively correlated with trading volume. The autoregressive analysis did not confirm the expectation of a dynamic relationship between sentiment and market variables. The quantile analysis showed that the ISI explains the stock market return, however, only at times of lower returns. It is possible to state that this effect is due to the informational content of the tweets (sentiment), and not to the volume of tweets.

The study presents unprecedented evidence for the Brazilian market that investor sentiment can be identified on Twitter, and that this sentiment can be useful for the formation of an investment strategy, especially in times of lower returns. These findings are original and relevant to market agents, such as investors, managers and regulators, as they can be used to obtain abnormal returns.

Offline retail stores have been working on improving their in-store customer experience; they have begun to realise the physical advantage they have over online channels. Especially sports products have a number of unique features, such as high emotional involvement or a sense of community; additionally, sports customers put emphasis on multisensory brand experience at the point of sale. This study examines the in-store customer experience (ISCX) in offline sports retail stores, taking into account the commercial uniqueness of sport.

A qualitative study (focus groups; n = 16) and quantitative survey (cross-sectional survey design; n = 238) were conducted to measure ISCX in sports retail stores.

The results suggest that the customers' in-store experience has a significant influence on customers' satisfaction with the sports retailer and their likeliness to recommend the store to friends, which, in turn, is significantly affected by customers' satisfaction with the retailer. Moreover, social responses to actors involved in the service encounter, for example, the interaction with employees, play a significant role for the customer in-store experience. Accordingly, sports customers strive not only for functional benefits inherent in the interaction with customers and employees but also for social benefits.

This study extends the knowledge by (1) replicating the ISCX scale, (2) analysing ISCX in a sports retail environment and (3) examining the influence of ISCX on the Net Promoter Score. Moreover, the findings support managers' know-how about in-store setting and help to maintain the customer relationship.