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As the application of artificial intelligence (AI) becomes more prevalent, many high-tech firms have employed AI applications to deal with emerging societal, technological and environmental challenges. Big data analytical capability (BDAC) has become increasingly important in the AI application processes. Drawing upon the resource-based view and the theory of planned behavior, this study aims to investigate how BDAC and collaboration affect new product performance (NPP). Practically, a harmonic working team is particularly important for creating management synergies, this empirical analysis demonstrates the importance of BDAC and collaboration for NPP.

This paper focuses on the performance of firms that applied AI in their operations. This study collected data from firms in Greater China, including China and Taiwan, as Greater China is currently the leading manufacturer of semiconductor, electronic and electric products for AI applications in the manufacturing process. Confirmatory factor analysis and structural equation modeling is employed for statistical analysis.

The analytical results indicate that BDAC positively relates to collaboration capability (CC) in AI applications but not to team collaboration (TC). CC positively correlates with TC, and both CC and TC positively correlate with NPP. Further, the mediating effect was examined using the Sobel t-test, which reveals that CC is a significant mediator in the influence of BDAC on NPP.

The strategic implementation of BDAC and collaboration can allow an enterprise to improve its NPP when driven by the external environment to use AI, which further enhances NPP. These processes indicate that AI and BDAC are both crucial for the success of a company’s collaboration and for effective management to improve NPP in the face of global competition.

This study introduces the concept of BDAC to explain the relationship between CC and TC, as they pertain to NPP. This study presented a discussion of the theoretical and practical implications of the research findings and could provide a framework for managing BDAC.

This paper aims to examine the possible benefits and effects of shared vision and integration on entrepreneurial management for new Chinese ventures. By examining new enterprises, rather than already established and operating firms, this study can better demonstrate the impact of shared vision and internal or external integration on entrepreneurial performance. The empirical analyses demonstrate the importance of shared vision and both types of integration for new ventures, particularly enterprises in China.

This study collected data from firms in Greater China, including China, Taiwan and Hong Kong. Five hypotheses were tested, for which the total sample size was 246 respondents. Confirmatory factor analysis and structural equation modeling were applied for statistical analyses.

The results indicate that entrepreneurial vision correlates positively with shared vision. In its turn, shared vision correlates positively with internal integration and external integration. Furthermore, internal integration correlates positively with entrepreneurial performance. Although external integration is essential during new enterprise establishment, analytical results indicate that external integration is not strongly correlated with entrepreneurial performance.

Shared vision plays a critical role in the integration process during the establishment of new enterprises. The results of this study show that newly established firms need to put more efforts than do operating firms into integrating external resources.

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This study contributes to a better understanding of the effects of shared vision and the different kinds of integration on entrepreneurial management. Knowing the driving forces behind these phenomena may help new firms to engage more actively in resources integration and enhance their entrepreneurial performance.

Eco-labeling will grow in importance as natural resources grow scarcer and environmental concerns increase. The purpose of this study considers team collaboration (TC) and integration capability (IC) to examine the possible effects of team member’s shared vision (SV) on the performance of marketing eco-labeled products.

Theoretical perspectives on SV, IC and TC were studied to evaluate the development of eco-labeled products and to improve their marketing performance. A total of 247 eco-label products were sampled; confirmatory factor analysis and structural equation modeling were used for statistical analysis.

The results demonstrate that team members’ SV is positively correlated with TC. Both TC and IC are positively correlated with the performance of eco-labeled product marketing, but SV does not correlate positively with IC. The results herein also demonstrate that TC significantly mediates the effect of SV on the performance of eco-labeled product marketing.

Firstly, this research aimed to study the effects of SV, TC and IC, particularly on the performance of marketing eco-labeled products. The analysis on other organizational performance, for example, human resource management performance or financial performance can be further studied. Secondly, further study of different products is necessary as different eco-labeled products have dissimilar product life cycle patterns. As human environmental concern grows, firms engaging in the manufacture of eco-labeling products will increase significantly and cover many different products. The analyses on different products or applications require further study to elucidate diverse management strategies.

An effective SV can rapidly clarify the goals and directions associated with eco-labeled marketing performance. Managers with high expectations of marketing performance can improve marketing performance when they clearly share eco-labeled product development objectives and directions. Proper IC and TC are also essential to the performance of eco-labeled product marketing.

This study introduces the concept of SV to explain the relationship between TC and IC as they pertain to eco-labeling product marketing. A theory of eco-labeling marketing is also presented.

In the digital economy, as artificial intelligence applications increase, big data analytical capability (BDAC) plays a crucial role, and intellectual capital is growing in importance. This study aims to examine the possible benefits and effects of intellectual capital, BDAC and integrations on operational performance.

This study collected data from firms in Asia, and a total of 257 senior managers completed a questionnaire. Confirmatory factor analysis and structural equation modeling (SEM) is used for statistical analysis.

Intellectual capital positively correlates with BDAC, and BDAC positively relates to internal integration but not to external integration. Furthermore, both internal integration and external integration positively correlate with operational performance. This study supports that internal integration is a significant mediator in the influence of BDAC on operational performance.

First, the authors provide empirical evidence that intelligent capital in intangible resources helps firms to build BDAC. Second, this study stresses the importance of BDAC in business, which enhances the integration of the whole supply chain and results in superior operational performance.

This is a first attempt from the perspective of intelligent capital and uses SEM to emphasize the relationships among BDAC, supply chain integration and performance based on unique and irreplaceable intangible resources, thus providing a new perspective on the contributing factors of BDAC.

The study aims to determine the impact of sustainable manufacturing on environmental performance through government regulation and eco-innovation in Indonesian small and medium-sized enterprises (SMEs).

The results indicate sustainable manufacturing plays a significant role in SMEs' environmental performance and regulations, and eco-innovation can moderate it. It also reveals that government regulation has a positive and significant effect on environmental performance. Moreover, eco-innovation has a positive and significant effect on environmental performance.

The findings of this study indicate that SMEs can embrace sustainable manufacturing practices and achieve their long-term sustainability goals by adhering to regulations, collaborating with stakeholders and implementing eco-friendly innovations.

This research uncovers ground-breaking perspectives on the evolution of scientific knowledge about the impact of eco-innovation, regulatory measures and sustainable manufacturing practices on the environmental performance of SMEs.

The adequate culture of knowledge sharing in organizations is considered a key factor for improving the employees’ performance. Along with knowledge sharing, total quality management (TQM) practices are the ways to achieve business excellence. The purpose of this paper is to explore the mediating effect of knowledge sharing on the relationship between TQM practices and employees’ performance.

The quantitative study has been carried out in software houses of Pakistan. Data were collected from 340 employees using survey questionnaires from software houses of Pakistan and is analyzed through structural equation modeling technique using SPSS 22.0 and SmartPLS 2.0.

The results reveal that knowledge sharing partially mediates between TQM practices and employee performance. Furthermore, the results indicate that the TQM practices should be implemented holistically rather than individually.

The generalization of the results is limited as the sample size is relatively small and represents software houses of only four regions in Pakistan. Moreover, the study findings were only based on software houses. So, these should be applied to other sectors with caution.

This study complements the previous researches and seeks to extend literature that how the core elements of knowledge sharing mediate between TQM practices and employees’ performance especially, in developing countries like Pakistan.

Scholars and practitioners have raised concerns that mandatory remote work can lead to feelings of isolation and alienation in employees. Therefore, this study aims to investigate this issue by examining the impact of work communication satisfaction in remote environments on employee alienation and job satisfaction.

Sensemaking and social information processing (SIP) theory are used for formulating the hypotheses. To test the hypotheses, primary data were collected from 418 employees working in various Indian organizations and analyzed using AMOS and Hayes' PROCESS macro for SPSS.

The findings reveal that work communication satisfaction is negatively associated with alienation and positively associated with job satisfaction. Alienation mediated the relationship between work communication satisfaction and job satisfaction. Additionally, employees belonging to organizations with stronger CSR associations reported feeling less alienated than employees of organizations with weaker CSR associations.

Organizations can improve work communication satisfaction by devising remote communication plans that clarify employee expectations regarding the frequency, purpose and channel of communication. Additionally, organizations should communicate their CSR efforts to employees, particularly during times of crisis, as this can help improve employee impressions of the organization.

The study extends the work on alienation by approaching it from the perspective of sensemaking. The research demonstrates how work and non-work-related social information cues (work communication and CSR associations) can influence employee attitudes through their sensemaking. The context of the study adds to its uniqueness.

The purpose of this paper is to examine the effects of small and medium-sized enterprises’ (SMEs) foreign agent operations on their international performance. This study thus investigates a mechanism in which market information obtained through agents is interpreted, transformed and applied for decision making and presents outcomes. In particular, the study focuses on the mediating role of adaptive capability on the relationship between market information management and export performance.

Drawing upon the theories of knowledge-based view and contingency paradigm, a research model is developed for linking the key constructs of foreign agent operations, information management, adaptive capability and performance. Structural equation modeling is applied for testing the model using data collected from a sample of 152 Korean SME exporters.

The results indicate that a firm’s operation quality of foreign agents strongly affects the quality of market information management which consequently impacts export performance. In the relationship between market information management and export performance, in particular, adaptive capability is found to play a mediating role. This implies that export performance is, for the most part, achieved by the mediation of adaptive capability, although market information leads directly to export performance to some degree. The results also confirm the existence of reciprocal causation between a firm’s export performance and foreign agent operations. The finding suggests that the outcome of SME export performance continues to provide feedback to its operations of foreign agents and consistently influence each other.

This study makes an important contribution to the body of export literature by identifying the mediating effects of adaptive capability on the relationship between market information management and export performance. In addition, the results create a recursive model for SME export performance by verifying the reciprocal relationship between export performance and operating with agents. This study thus helps extend understanding of international operations through foreign agents in the SME context.

Customer participation has been recognised as a critical factor in successful new product development (NPD). However, there is scant empirical evidence on how customer participation affects NPD performance. This research attempts to provide a framework to interpret how inter‐organisational relationships mediate the impact of customer participation on NPD performance based on marketing, innovation management and social networks literature.

An empirical study of 179 high‐tech firms in Taiwan is analysed by structural equation modelling.

The results indicate that the impacts of customer participation as an information resource and customer participation as a co‐developer on NPD performance are mediated by inter‐organisational relationships.

The results offer a guideline for high‐tech firms that decide to involve customers in NPD activities. In order to improve efficiency and effectiveness, this research suggests that firms build inter‐organisational relationships with customers to foster knowledge sharing, cooperation, and problem solving. However, firms should be aware that product innovativeness may be hindered by such close collaborative relationships.

The research demonstrates that the contributions of customer participation may not be regarded as inevitable. The authors confirm that research for investigating the linkage between customer participation and NPD performance should consider the mediating roles of inter‐organisational relationships, which may help resolve the conflicting results obtained by researchers on the contributions of customer participation. In addition, the results show that the establishment of close customer‐supplier relationships during NPD cooperation is a key success factor for both efficiency and effectiveness, but has the opposite effect on product innovativeness.

The importance of effective public messages has been widely recognized during the coronavirus disease 2019 (COVID-19) pandemic. In particular, the role of news items and interpersonal conversations for the acceptance of public health measures has been highlighted. The authors propose a conceptual model based on the existing literature on how to measure the degree of persuasion of news narratives in the context of the COVID-19 pandemic.

The authors adopted a whole population approach, where the unit of analysis was the population of the media news about the COVID-19 pandemic. The authors selected a sample to develop and test their conceptual model. The sample size was n = 248. The questionnaire was distributed online using a non-probability convenience sampling plan. The authors used a pre-post pseudo-experimental design. Respondents answered questions about their attitude toward the COVID-19 pandemic. After watching a narrative news report on the same subject, they then answered questions designed to measure changes in their attitude. A structural equation model, the Sobel test and a paired samples t-test were used to test hypotheses.

The results showed that there is a significant relationship between narrative with transportation and empathy. There was also a positive and significant relationship between transportation and empathy with attitude and interpersonal talk. The relationship between transportation and self-referencing was also supported. Further, transportation and attitude mediated the relationships between narrative and interpersonal talk, self-referencing as well as empathy. A paired samples t-test revealed that attitudes were changed or reinforced before and after watching the narrative news report.

This paper contributes to the body of knowledge by identifying the outcomes of narrative persuasion during public health crises such as the COVID-19 pandemic.