PurposeShort-form health science videos have become an important medium for disseminating health knowledge and improving public health literacy. However, the factors that determine viewer engagement are not well understood. This study aims to address this research gap by investigating the association between doctor image features and viewer engagement behavior, building on the personal branding theory and information signaling theory.Design/methodology/approachA sample of 1245 health science short-form videos was collected, and key video features related to doctor images were extracted through manual labeling. Multi-variable regression analysis and SPSS process model were employed to test the hypotheses.FindingsThe results show that doctor image features are significantly associated with viewer engagement behavior. Videos featuring doctors in medical uniforms receive more viewer likes, comments and shares. Highlighting the doctor's title can increase viewer collections. Videos shot in a home, white wall, or study room setting receive more like, comments and sharing. The doctor's appearance demonstrates a positive nonlinear relationship with viewer likes and comments. Young doctors with title information tend to attract more video collections than older doctors with title information. The positive effect of the doctor's appearance and showing title information, become more significant among male doctors.Originality/valueThis research provides novel insights into the factors that determine viewer engagement behavior in short-form health science videos. Specific doctor image features can enhance viewer engagement by signaling doctor professionalism. The results also suggest that there may be age and gender biases in viewers' perceptions.

PurposeOrganizations have widely adopted enterprise social media (ESM) to improve employees' creativity. This study applies self-regulation theory to explore the role of feedback seeking in mediating the effects of work-oriented and social-oriented ESM usage on employee creativity.Design/methodology/approachA questionnaire was conducted on 219 working professionals in China – professionals that use ESM in respective organizations.FindingsResults show that both work-oriented and social-oriented ESM usage are positively associated with employee feedback inquiry and, subsequently, increased employee creativity. The findings also suggest that social-oriented ESM usage is positively related to employee monitoring, whereas employee feedback monitoring is not related to employee creativity.Research limitations/implicationsPractitioners and/or managers need to pay greater attention to the impact of work-oriented and social-oriented ESM usage on employee feedback seeking strategies and creativity. The low response rate is one of the limitations in this study, although the results of the test suggest that non-response bias is not a critical issue in this study.Originality/valueThis study contributes to the knowledge of feedback inquiry in explaining the effect of work-oriented and social-oriented ESM usage on employee creativity. The current study helps to extend the intervening mechanism in the relationship between ESM usage and employee creativity.

PurposeMost studies have focused on the impact of the application of AI on management attributes, management decisions and management ethics. However, how job demand and job control in the context of AI collaboration determine employees' learning process and learning behaviors, as well as how AI collaboration moderates employees' learning process and learning behaviors, remains unknown. To answer these questions, the authors adopted a Job Demand-Control (JDC) model to explore the influencing factors of employee's individual learning behavior.Design/methodology/approachThis study used questionnaire survey in organizations using AI to collect data. Partial least squares (PLS) predict algorithm and SPSS were used to test the hypotheses.FindingsJob demand and job control positively influence self-efficacy, self-efficacy positively influences learning goal orientation and learning goal orientation positively influences learning behavior. Learning goal orientation plays a mediating role between self-efficacy and learning behavior. Meanwhile, collaboration with AI positively moderates the impact of employees' job demand on self-efficacy and the impact of self-efficacy on learning behavior.Originality/valueThis study introduces self-efficacy as the outcome of JDC model, demonstrates the mediating role of learning goal orientation and introduces collaborative factors related to artificial intelligence. This study further enriches the theoretical system of human–AI interaction and expands the content of organizational learning theory.

PurposeTo improve the frequency of adoption of mobile health services (MHSs) by users (consumers), it is critical to understand users' MHS adoption behaviors. However, the literature primarily focuses on MHS adoption-related factors and lacks consideration of the joint impacts of reasons for (RF) and reasons against (RA) on users' attitudes and adoption behaviors regarding MHSs. To fill this gap, this study integrates behavioral reasoning theory (BRT) and protective motivation theory (PMT) to develop a research model by uncovering the reasoning process of personal values, RF and RA, adoption attitudes and behavior toward MHSs. In particular, health consciousness (HC) is selected as the value. Comparative advantage, compatibility and perceived threat severity are considered the RF subconstructs; value barriers, risk barriers and tradition and norm barriers are deemed the RA subconstructs.Design/methodology/approachA total of 281 responses were collected to examine the model with the partial least squares structural equation modeling (PLS-SEM) method.FindingsThe results show that HC positively affects attitude through RA and RF. Additionally, RF partially mediates the relationship between HC and adoption behavior. This study contributes to a deeper understanding of user adoption behavior in MHS and provides practical guidance for the health services industry.Originality/valueThis study contributes to the existing MHS literature by understanding the joint influences of personal values, RF and RA on user attitude, which eventually determines users' adoption decisions regarding MHSs.

PurposeThis study aims to explore the effect of human resource (HR) strategy (e.g. empowerment and teamwork) on green supply chain integration (e.g. green supplier and customer integration), which further leads to economic performance. Moreover, the authors examined the moderating effects of information systems and mutual trust on the relationship between HR strategy and green supply chain integration.Design/methodology/approachUsing the empirical data from 213 Chinese manufacturing firms, this study uses structural equation modeling and hierarchical regressions to examine the conceptual model.FindingsThe study’s findings reveal that empowerment and teamwork positively enhance green supplier and customer integration. Green supplier and customer integration are positively related to economic performance. Moreover, information systems positively moderate the relationship between empowerment and green supplier integration but negatively moderate the relationship between teamwork and green supplier/customer integration. Mutual trust positively moderates the relationship between empowerment and green supplier integration and the relationship between teamwork and green customer integration.Originality/valueThis study extends the existing understanding regarding how to enhance green supply chain integration by adopting an appropriate HR strategy in the context of different levels of information systems and mutual trust.

PurposeThe emergence of digital transformation in the banking industry gives rise to the challenges of adopting technology and boosting users' confidence in the process. This study mainly explores the roles of operant resources and consumption values in the user's consumption process concerning the fintech-embedded product-service system (FPSS) that provides technologically advanced financial services in South Korea.Design/methodology/approachThis study examines the research model based on users' perceived quality, assessment and recommendation of FPSS. In addition, grounded in the resource-based view (RBV) and consumption value theory (CVT), an extended model is developed to understand the impact of user consumption value on FPSS design. The research model includes both product-service system (PSS) characteristics, i.e. quality and assessment, and user-specific characteristics, i.e. conditional, utilitarian and social values (collectively referred to as user consumption value).FindingsThis study finds that information, service and security quality positively affect users' confidence through positive assessment and recommendation intention. All the elements of user consumption value play a positive role in the FPSS user confidence model. In addition, the impact of operant resources on the overall service assessment is further investigated based on the interest of user's service engagement. Notable findings include users that highly engage in FPSS services return higher service assessment when social value, information quality and service quality increase.Originality/valueOverall, this study provides academic and managerial guidelines for the strategic design of fintech-embedded banking services by considering the roles of PSS and user-specific characteristics in fostering sustainable competitive advantage.

PurposeIn order to effectively promote the deep integration of artificial intelligence and the real economy and empower real enterprises to improve quality and efficiency, this study regards the CEO as a high-end innovation resource and aims to empirically test the impact of scholar-type CEOs on the industrial artificial intelligence (AI) transformation of manufacturing enterprises.Design/methodology/approachGrounded on the upper echelons theory, this paper preliminarily selects A-share manufacturing listed companies in Shanghai Stock Exchange and Shenzhen Stock Exchange that are affiliated to enterprise groups from 2014 to 2020 as samples. Furthermore, the Logit regression is conducted to analyze the influence of scholar-type CEOs about industrial AI transformation.FindingsThe results show that scholar-type CEO plays a significant role in promoting industrial AI transformation. The parent-subsidiary corporations executives' ties positively moderates the impact of scholar-type CEOs on industrial AI transformation. Further, internal control quality plays a partial mediating role between scholar-type CEOs and industrial AI transformation. Compared with private enterprises, scholar-type CEOs play a stronger role in promoting industrial AI transformation of state-owned enterprises.Originality/valueFirst, this paper expands the research related to the influencing factors of industrial AI transformation based on upper echelons theory and clarifies the influencing mechanism of scholar-type CEOs affecting industrial AI transformation from the perspective of executives' behavior. Second, this study further enriches the research framework on the economic consequences of scholar-type CEOs and provides a useful supplement to the research literature in the field of upper echelons theory. Third, this paper is not limited to a single enterprise but involves the management practice of resource allocation within the enterprise groups, further clarifies the internal logic of the decision-making of industrial AI transformation of listed companies within the framework of enterprise groups, providing theoretical reference for the scientific design of the governance mechanism of parent-subsidiary companies.

PurposeThe paper aims to clarify the effects of brand differentiation on the platform's formulation of channel strategy and help the online platform formulate the optimal channel strategy, which involves selecting a proper selling mode for each brand.Design/methodology/approachThe paper develops a multistage game model consisting of one online platform and two competing manufacturers with differentiated brands and examines the effects of brand differentiation on these three channel members' profits under each candidate channel strategy.FindingsThe results show that the platform prefers to offer the reselling mode for both brands when the brand differentiation is low, and this preference will be enhanced by the decrease in order fulfilment cost. By contrast, when the brand differentiation is high, it will offer the reselling mode for the premium brand but the marketplace service for the economy brand if the order fulfilment cost is not high; or the marketplace mode will be offered to both brands if this cost is high.Research limitations/implicationsThis study assumes that the order fulfilment costs of platform and manufacturer are fixed and symmetric. Therefore, researchers are encouraged to consider asymmetric costs of order fulfilment.Practical implicationsThe paper guides the online platform to formulate the optimal channel strategy for differentiated brands and provides managerial insights for differentiated brands entering online markets.Originality/valueThis paper explores platforms' optimal channel strategy by jointly considering the effects of brand differentiation and investigates the impacts of brand differentiation on the optimal decision making under four candidate options. Moreover, this paper has been extended to examine the case when the manufacturers' production costs cannot be neglected.

PurposeThe primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.Design/methodology/approachThis research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.FindingsThis study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.Practical implicationsThis analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.Originality/valueThis study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

PurposeScholars and practitioners increasingly recognize data as an important source of business opportunities, but research on the effect on small and medium-sized enterprises (SMEs) is limited. This paper empirically examines the complementary impact of SMEs' data capability and supply chain capability (SCC) and further tests the mediation effect of SCC between data capability and operational performance. The mediated effect of data capability is also moderated by competition.Design/methodology/approachThis paper analyzes longitudinal data collected from 122 manufacturing SMEs in Finland. Hypotheses were tested by using structural equation modeling (SEM).FindingsThe results show that to benefit from the data capability, SMEs require a certain level of SCC to extract the value from the SMEs' data capability and support operational performance. Additionally, competition affects how SMEs benefit from data capability, as competitor turbulence moderates the complementary effect of data capability and SCC on operational performance.Originality/valueThis is one of the first studies examining the longitudinal effect of SMEs' data and SCC on operational performance in the current competitive environment.