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Firms are increasingly digitalizing their business processes and expanding them into digital platforms, which are believed to generate digital and relational resources that can facilitate and deliver innovations for firms. Instead of focusing on the extent of digital integration capability (DI), this paper seeks to empirically evaluate whether the DI asymmetry between the buyer and supplier firms influences bilateral information sharing and the buyer’s product innovation. We also examine the moderating effects of firms’ external (environmental dynamism) and internal (innovative climate) environments on these relationships.

Primary and secondary archival data on 180 buyer-supplier Chinese dyadic relationships were collected and analyzed using multiple linear regression models. Additionally, the Process macro was used to shed a nuanced light on the moderation effects of environmental dynamism and innovative climate.

The results show that DI asymmetry negatively impacts buyer firms’ product innovation through decreased information sharing. Environmental dynamism weakens the negative relationship between DI asymmetry and information sharing. Meanwhile, the innovative climate negatively moderates the relationship between information sharing and product innovation.

This study adds knowledge to the literature regarding the dark side of “one-sided digitalization.” By exploring the influences of unbalanced DI in buyer-supplier relationships, this study yields essential theoretical and managerial implications for product innovation success in a digital era.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

This study investigates the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and improving the firm performance. It also studies the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance.

This article aims to develop an empirical study using a random sampling technique and survey data collected from 368 managers and owners of different food enterprises in Vietnam. The study adopted a methodological approach quantitatively. Analysis of the relationships and confirmatory factors was performed using structural equation modeling (SEM), a technique to evaluate the proposed relationships.

In line with expectations, the findings emphasize the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and the role of supply chains as both direct and indirect mediators of the correlation between digitalization and improving the firm performance, in the context of emerging markets.

This is an important investigation, according to the authors' knowledge, regarding the role of developing human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) as a key strategy for accelerating the digitalization process and improving the firm performance. Further, the study's novelty reinforces the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance in the Vietnamese food companies, where a market economy is emerging.

This study aims to explore the constituents of artificial intelligence (AI)-augmented knowledge management (AIKM) capability and its impact on clinical performance (CP) in the health-care sector. It further examines the mediating role of absorptive capacity (Abs Cap) and discusses the implications of these findings for marketing strategies, highlighting how enhanced CP through AIKM can lead to more effective and patient-centered marketing approaches.

This research uses a mixed-method design. A qualitative study through semi-structured interviews was conducted to explore the facets of AIKM. The synthesis of qualitative findings infused with the relevant literature to develop a hypothesized model of AKM, Abs cap and CP metrics (e.g. diagnostic accuracy, patient satisfaction and treatment effectiveness). A survey of health-care professional in India was conducted to assess the proposed model by using structural equation modeling (PLS-SEM).

The results demonstrate a significant positive relationship between AIKM and CP. Moreover, Abs Cap mediates this relationship partially, highlighting its crucial role in translating improved knowledge access and analysis enabled by AI into enhanced clinical outcomes.

The findings suggest that health-care organizations should invest in developing AIKM alongside strengthening Abs cap to maximize the positive impact of AI on CP and ultimately improve patient care. Future research can explore specific AIKM components and Abs cap facets influencing different aspects of CP.

This study represents a pioneering effort to conceptualize AIKM within the health-care context and empirically establish it as a higher-order factor. The inclusion of marketing strategies underscores the potential of AIKM not only in improving clinical outcomes but also in transforming health-care marketing. The mediating role of Abs Cap emphasizes the importance of organizational structures and processes that facilitate the absorption and utilization of knowledge, thereby contributing to both clinical and marketing excellence.

The rapid evolution of digital innovation has significantly revolutionized the business landscape for entrepreneurs. Embracing digital innovation is crucial for all stakeholders to achieve sustainable development goals (SDGs) and promote sustainability. However, there is little understanding of how entrepreneurial leadership in developing nations has proactively responded to the challenge of digital innovation. Based on Drucker’s productivity theory, this study examines the relationship between entrepreneurial leadership (EL), digital orientation (DO) and digital capability (DC) as predictors of digital innovation (DI). The proposed model aims to establish the causal connections between variables and elucidate the complex interplay between digital innovation and the resulting outcome of sustainable performance (SP).

Two research studies were carried out in the Chinese IT industry to assess the efficacy of the theoretical framework among IT workers. Study 1 utilized a three-week, two-week time-lagged design (N = 299), while Study 2 used a two-week, four-week survey design (N = 341). The study used Smart-PLS 4.0 for data analysis.

The results showed that entrepreneurial leadership significantly impacts employee digital orientation and digital capabilities, fostering digital innovation. Moreover, digital innovation has a significant impact on sustainable performance.

The study’s findings allow authors to contribute to the existing scholarship on employee digital orientation, digital capabilities, digital innovation and sustainable performance in an emerging economy.

Damage of engineering structures is a nonlinear evolutionary process that spans across both material and structural levels, from mesoscale to macroscale. This paper aims to provide a comprehensive review of damage analysis methods at both the material and structural levels.

This study provides an overview of multiscale damage analysis of engineering structures, including its definition and significance. Current status of damage analysis at both material and structural levels is investigated, by reviewing damage models and prediction methods from single-scale to multiscale perspectives. The discussion of prediction methods includes both model-based simulation approaches and data-driven techniques, emphasizing their roles and applications. Finally, summarize the main findings and discuss potential future research directions in this field.

In the material level, damage research primarily focuses on the degradation of material properties at the macroscale using continuum damage mechanics (CDM). In contrast, at the mesoscale, damage research involves analyzing material behavior in the meso-structural domain, focusing on defects like microcracks and void growth. In structural-level damage analysis, the macroscale is typically divided into component and structural scales. The component scale examines damage progression in individual structural elements, such as beams and columns, often using detailed finite element or mesoscale models. The structural scale evaluates the global behavior of the entire structure, typically using simplified models like beam or shell elements.

To achieve realistic simulations, it is essential to include as many mesoscale details as possible. However, this results in significant computational demands. To balance accuracy and efficiency, multiscale methods are employed. These methods are categorized into hierarchical approaches, where different scales are processed sequentially, and concurrent approaches, where multiple scales are solved simultaneously to capture complex interactions across scales.

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.

In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.

The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.

In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/

Drawing motivation from the greater exposure to uncertainty and condition changes that affect large projects due to their long lifecycle, this paper aims to investigate how the time factor affects the use of governance mechanisms to pursue the success of these projects.

To pursue its aim, the article applies the dichotomization between the hard and soft mechanisms of project governance to the analysis of a historical case study, whose findings are organized over the short, medium and long periods. The case selected is referred to the peculiar water system, made up of tunnels named “bottini,” that was in use in Siena (Italy) as the old aqueduct. Specifically, the study focuses on the project of expansion of this water system that was realized during the 14th century for the construction of the “Bottino maestro di Fontegaia.”

This article highlights the different relevance that, during the lifecycle of large projects, is assumed by hard and soft governance mechanisms, with the former having main relevance in a short and medium period, and the latter usually emerging in the medium period and, subsequently, playing a growing role for the project success in the long period.

The article contributes to the literature on large projects by providing novel insights about how the time factor impacts the governance of these projects. Furthermore, the case study, with its unique history, highlights the relevance of combining effectively the hard and the soft dimensions of project governance to pursue success.

This study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.

The author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.

The refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.

The study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.

The authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

This paper aims to shed light on the relevant benefits that collaborations with external innovation drivers can offer to companies in traditional sectors to embark on a twofold path oriented toward both a sustainable horizon and digital transformation (DT) goals.

This work describes the outcomes of the METROPOLIS project, financed by the Economic Development Ministry (MISE), to support small and medium enterprises in the DT process. The project involves the collaboration between the University of Naples Federico II and Palescandolo Lavorazioni Siderurgiche (PLS), an enterprise in the shipbuilding sector.

The project’s results highlight the complexity of the required interventions and show that DT is necessary but not sufficient condition to improve performance. Therefore, it is crucial to implement an appropriate decision support system based on advanced methodologies that can efficiently handle the system’s complexity, managing objectives oriented on efficiency and sustainability. Hence, the authors developed an original optimization approach to combine the need to ensure good production performances with sustainability-oriented objectives.

This study emphasizes the complex path necessary to radically transform companies’ processes across digital and sustainable paradigms through a real project experience. In particular, it demonstrates that efficiency and sustainability objectives may conflict, and multicriteria approaches may help overcome this. Hence, it may provide insights for stakeholders and researchers involved in DT and green transition processes.