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This paper aims to propose a method for automatic design of additive manufacturing (AM) flow channel paths driven by path length and pressure loss. The research focuses on the automatic design of channel paths, intending to achieve the shortest flow channel length or minimum pressure loss and improve the design efficiency of AM parts.

The initial layout of the flow channels is redesigned to consider the channels print supports. Boundary conditions and constraints are defined according to the redesigned channels layout, and the equation consisting of channel length and pressure loss is used as the objective function. Then the path planning simulation is performed based on particle swarm algorithm. The proposed method describes the path of flow channels using spline cures. The spline curve is controlled by particle (one particle represents a path), and the particle is randomly generated within the design space. After the path planning simulation is completed, the generated paths are used to create 3D parts.

Case study 1 demonstrates the automatic design of hydraulic spool valve. Compared to conventional spool valve, the pressure loss was reduced by 86% and the mass was reduced by 83%. The design results of case study 2 indicate that this approach is able to find the shortest channel path with lower computational cost.

The automatic design method of flow channel paths driven by path length and pressure loss presented in this paper provides a novel solution for the creation of AM flow components.

Drawing upon the social network theory (SNT), the aim of this study is to examine the impact of value co-creation (VCC) on retailer loyalty (RL) and omni-channel shopping frequency (OCF) from the consumer perspective.

Grounded on SNT, the research focuses on VCC in omni-channel retailing. A paper-based questionnaire was used to examine the role of VCC on OCF and RL, and hypotheses were tested using structural equation modeling (SEM).

The findings supported the impact of VCC on RL, and in turn, the impact of RL on OCF. However, the results of the analysis reveal that RL has no mediator role between VCC and OCF.

The study shows the increasing role of VCC on RL, and the important role of RL on OCF. The findings reveal that RL has a significant role for VCC and OCF separately but does not have a mediator role between VCC and OCF. Moreover, the study extends the knowledge on VCC in omni-channel retailing.

The new research model, which was hypothesized from SNT, was validated. In the omni-channel retailing context, the study revealed the consumer perspective on VCC, and also the linkages between VCC, RL and OCF.

This study aims to explore the connections between intellectual capital and academic performance in Lahore, Pakistan’s higher education institutions (HEIs). The research delves into the mediation effect of dynamic capabilities, such as acquisition and exploitation, between intellectual capital and innovation within these educational institutions.

Grounded in the insights from a comprehensive literature review, the methodology uses a pre-tested questionnaire. Faculty members from private universities in Pakistan were chosen as the study's unit of analysis. Using a convenience sampling technique, data was gathered from 342 teachers and then analyzed using Smart (PLS) 3.3.3.

The results demonstrate that intellectual capital positively affects innovation. Acquisition and exploitation further mediate this influence, improving academic performance. Applying the knowledge-based view theory, the study confirmed the significance of all the posited hypotheses, underlining the positive interrelationships within Pakistan’s academic institutions.

The novelty of this research lies in its specific focus on the HEIs in Pakistan, demonstrating how intellectual capital and dynamic capabilities foster innovation, thereby enabling these institutions to maintain a competitive edge in a rapidly evolving educational landscape.

There is a growing interest among academics, government agencies and private organisations to examine the scale, characteristics, and impact of Open Innovation (OI). Studies have examined these issues mainly in the context of a developed world. Because firms in developing economies face unique challenges of OI such as building networks, inter-firm interactions, collaboration for resource utilisation and knowledge sharing, these warrant an examination of the theoretical relationships between the antecedents of OI and their impact on performance as well as mediators of these relationships. Therefore, this study develops a comprehensive OI framework to measure open innovation and analyse its effect on the innovation performance of Indian IT organisations.

Theoretically, the study draws upon the Resource-Based View, Relational View, and Absorptive Capacity theories. Empirically, a survey questionnaire was distributed to Indian IT organisations through the online survey tool “Qualtrics”. The research framework was tested using the data collected from 346 Indian IT organisations.

The results highlight the positive effect of OI activities on innovation performance and the mediating role of absorptive capacity. IT organisations with a higher inbound knowledge and absorptive capacity demonstrated better innovation performance.

This study is limited to understanding the mediating effect of absorptive capacity for inbound innovation. Future studies into the mediating role of desorption capacity could reveal its impact on innovation performance.

From a management perspective, this knowledge will enable managers and policymakers to emphasise OI to achieve better innovation performance. This knowledge will provide both government decision-makers and IT managers with definite OI implications for innovation performance.

The main contribution of this study lies in exploring the interconnectedness among IT organisations and collaborative processes on OI and innovation performance. This empirical study pinpoints the causes and sources of OI that would lead to innovation performance and the mediating role of absorptive capacity in achieving innovation performance. It extends the empirical base of OI scholarship based on firms in an emerging economy.

The literature on entrepreneurship implicitly suggests that developed nations' entrepreneurial ecosystems (EE) are positively related to small and medium enterprise performance. However, few theoretical and empirical studies explicitly investigate this relationship in emerging economies. Also, earlier studies have concentrated on the EE–SME performance association in a stable environment without any uncertainties. Hence, the current study analyses the relationship between EE and SME performance in an emerging economy. Entrepreneurial resilience (ER) has been introduced (mediator) to understand the EE–SME performance relationship in the post-pandemic period.

The research sample comprises 359 Indian SMEs. The owners/managers of each SME were contacted to obtain responses. The research employs a multifaceted method Partial Least Squares-structural equation modelling that permits the investigation of several concurrent associations for data analysis.

The findings reveal that EE significantly impacts ER and SME performance. Additionally, ER partially mediates the relationship between EE and SME performance. The findings indicate that post-pandemic India's EE positively influences SME performance directly, as well as indirectly through ER.

The results provide implications for policymakers from economies similar to India's. It suggests that policymakers can enhance ER and, consequently, SME performance during periods of uncertainty by focusing on developing an EE with strong institutional foundations, supportive frameworks and a culture of adaptability.

SMEs and entrepreneurial activities in India are relatively new, but they are rising rapidly. This investigation adds to our knowledge of EE and allows us to comprehend its components in developing countries. This article contributes to the knowledge of India’s SME performance from an EE and ER perspective in the post-pandemic scenario.

Building on insights from the upper echelons theory and resource-based view (RBV), this study explains how directors’ exposure influences social enterprise performance through the mediating effect of entrepreneurial mindset, and the contingent role of financial resource availability.

The study follows a quantitative approach. Data were gathered from a survey of 168 social enterprises (i.e. Community Interest Companies (CICs)) in the United Kingdom (UK), and covariance-based structural equation modelling (CB-SEM) was used to test the hypotheses.

The results show that directors’ exposure positively relates to social enterprise performance, and that the relationship is mediated by entrepreneurial mindset. Additionally, the findings reveal that financial resource availability moderates the indirect path between directors’ exposure and social enterprise performance such that the effect is more pronounced at high levels of financial resource availability.

This study is a pioneering attempt to uncover the linkage between directors’ exposure and social enterprise performance. Unlike past research, the study integrates the upper echelons theory and RBV to extend social enterprise research within the social entrepreneurship domain and provide important practical value for social enterprise practitioners.

This research was motivated by the recognition that the use of mobile-based agricultural extension services (AES) applications has become increasingly popular among the bottom of the pyramid segment in recent years. However, users’ adoption is determined not only by their perception of the technology but also by its perceived wealth. In other words, even though a technology may be perceived as advanced, if it does not fit users’ wealth perception benefits, they may not adopt it. Using an extended unified theory of acceptance and use of technology (UTAUT) perspective, this study aims to explore potential predictors of behavioral intention toward AES such as effort expectancy, performance expectancy, customer wealth (CW), social influence and perceived characteristics of innovation.

Potential causal connections between key UTAUT factors and users’ intentions to use the services are hypothesized. An integrated theoretical model was developed and tested against the empirical data collected from 336 AES users. A measurement model and structural equation model were tested using AMOS 22.0 and confirmed all 14 hypothesized relationships.

The results were consistent with the recent literature on mobile technology acceptance, confirming an unmoderated relationship between CW and the adoption of mobile-based AES. This research proposes a mobile AES user adoption model by integrating CW with the unified theory of acceptance and usage of technology (UTAUT).

This study establishes CW as an outcome of various relationships.

Tracing audience preferences via audience analytics software has become a vital strategy for many news organizations to ensure their competitiveness in media markets. Extant research also confirms the growing presence of these tools in digital news work in recent years across many local and international news media. However, little is understood about the analytics-driven tensions emerging among journalists and media managers. This paper aims to address this gap by drawing on the labor process theory, which critically analyzes labor and workplace transformations under capitalism.

The present study employs an interview-based qualitative methodology to deeply understand the factors at the base of the emerging tensions between news workers and managers brought about by audience metrics tools.

Results show how some perceptions, activities and contextual triggers related to analytics could make relationships between workers and managers problematic. The pressures felt by some journalists stemmed from the way their media managers introduced, interpreted, communicated and applied analytics in the workplace, which were not tied to the quality and learning goals related to journalists’ aspirations. As our evidence suggests, the analytics-induced tensions among news workers were rather an outcome of managerial deficits than of systematic plans to exploit journalists.

By identifying the nature of fundamental analytics-driven tensions in newsrooms, this paper contributes to our understanding of how media managers can embrace more effective approaches toward audience analytics, workforce and organizational performance.

The drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers’ intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers’ intention to use DFDS (ITU).

Survey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses.

The study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU.

This study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits.

The paper aims to examine the digital economy's influence on China's regional innovation and development. It focuses on direct effects and spatial spillover across regions, and the mediating role of human capital. This analysis is vital for policy and strategic planning in the digital era.

This study uses panel data from 30 Chinese provinces (2004–2019) and uses the entropy method to quantify the digital economy's development. It investigates its impact on regional innovation using a dynamic spatial Durbin model (SDM) and mediation effect model, assessing direct effects, spatial spillover and human capital's mediating role. Various control variables are included for comprehensive analysis.

Findings show the digital economy significantly boosts regional innovation, acting as a growth driver. However, impacts vary regionally, with the central region gaining more than the eastern and western areas. Spatial spillover effects are mixed, showing negative short-term and positive long-term impacts under different weight matrices. Human capital is crucial for fostering innovation through the digital economy.

The paper offers unique insights into the spatial dynamics of the digital economy's impact on regional innovation in China. It advances understanding of the digital economy's role in regional development using innovative methods like the entropy method and dynamic SDM. Highlighting human capital as a key mediating factor enriches discussions on digital economy strategies for regional innovation.