Ind. Manag. Data Syst.最新文献

{"title":"Big data analytics capability in building supply chain resilience: the moderating effect of innovation-focused complementary assets","authors":"Voon‐Hsien Lee, P. Foo, T. Cham, Teck-Soon Hew, G. Tan, K. Ooi","doi":"10.1108/imds-07-2022-0411","DOIUrl":"https://doi.org/10.1108/imds-07-2022-0411","url":null,"abstract":"PurposeThis research investigates the mechanism by which big data capability enables superior supply chain resilience (SCRe) by empirically examining the links among big data analytics (BDA), supply chain flexibility (SCF) and SCRe, with innovation-focused complementary assets (CA-I) as the moderator.Design/methodology/approachExtensive surveys were conducted to gather 308 responses from Malaysian manufacturing firms in order to explore this framework. The structural and measurement models were examined and evaluated by using partial least squares structural equation modelling.FindingsThe findings revealed that BDA is linked to flexibilities in a manufacturing firm’s value chain, which in turn is related to the firm’s SCRe. However, the association between BDA and SCRe is surprisingly non-significant. Additionally, CA-I was discovered to moderate the connections between all of the constructs, except for the relationship between BDA and SCRe. Such findings imply that with the aim of enhancing resilience, a company should concentrate on SCF; and that BDA capability is a prerequisite for increasing these flexibilities.Originality/valueThis research extrapolates the findings of previous studies regarding BDA’s influence on SCRe by investigating the indirect effect of SCF, as well as the moderating influence of CA-I. This research is one of the first few studies to empirically examine the relationships between BDA, SCF and SCRe across manufacturing firms, with CA-I acting as a moderator.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"59 33","pages":"1203-1233"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140486920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of intrinsic and extrinsic cues on customer behavior in live streaming: evidence from an eye-tracking experiment","authors":"Yuangao Chen, Xinjia Tong, Shuiqing Yang, Shasha Zhou","doi":"10.1108/imds-10-2022-0606","DOIUrl":"https://doi.org/10.1108/imds-10-2022-0606","url":null,"abstract":"PurposeThis study aims to explore how specific cues with new manifestations (i.e. herding message and price discount information) and customer cognitive style influence attention allocation and purchase intention.Design/methodology/approachTo empirically validate the research hypotheses, an eye-tracking experiment with a 2 × 2 × 2 mixed design was conducted on a sample of 44 participants recruited from a university in China. Repeated measures analysis of variance was employed for data analysis.FindingsThe results show that herding message and price discount information play different roles in viewers' attention and have an interactive effect on attention. Moreover, individual cognitive styles moderate the impact of herding message on attention allocation. Still, two cues positively affect customer purchase intention.Originality/valueThis study guides future research by applying cue utilization theory to investigate the effects of two cues in live streaming. Findings offer practical implications for how live streaming cues affect viewers' attention allocation and purchase intention.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"7 1","pages":"2397-2422"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85866546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How doctor image features engage health science short video viewers? Investigating the age and gender bias","authors":"Ying Tan, S. Geng, L. Chen, Lang Wu","doi":"10.1108/imds-08-2022-0510","DOIUrl":"https://doi.org/10.1108/imds-08-2022-0510","url":null,"abstract":"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.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"64 1","pages":"2319-2348"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83084490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of enterprise social media usage on employee creativity: a self-regulation perspective","authors":"Manting Deng, Jiantao Zhu","doi":"10.1108/imds-09-2022-0546","DOIUrl":"https://doi.org/10.1108/imds-09-2022-0546","url":null,"abstract":"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.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"63 1","pages":"2378-2396"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82153886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of information and communication technologies in fruit and vegetable supply chain: a systematic literature review","authors":"M. Yuvaraj, R. J. Basu, M. Abdulrahman, C. G. Kumar","doi":"10.1108/imds-01-2023-0058","DOIUrl":"https://doi.org/10.1108/imds-01-2023-0058","url":null,"abstract":"PurposeInformation and communication technology (ICT) implementation has demonstrated usefulness in supply chain coordination and efficiency optimization in various industries and sectors. This study investigates the extent of ICT deployment in fruits and vegetable supply chains (FVSC) from “farm-to-fork” to ensure food security.Design/methodology/approachThis paper employs a systematic literature review (SLR) methodology and identified a total of 99 journal articles ranging from 2001 to April 2023 for analysis. The reviewed articles have been classified based on the framework proposed from the perspective of food security. Bibliometric and content analysis is carried out with the final list of articles to extract useful insights.FindingsThe findings reveal that ICT implementation in FVSC is a relatively new research area; researchers have started investigating several aspects of ICT in FVSC through varied research methodologies. Experimental research aimed at addressing food safety and condition monitoring of fruits and vegetables (FV) has started to gain traction while theory building is yet to gain traction in the literature reviewed. Findings indicate further research is required on technologies like blockchain (BCT), artificial intelligence (AI) and machine learning (ML), especially on key objectives such as food security, and the triple-bottom-line approach of sustainability. It also indicates that implementing relevant ICTs in FVSC can help delay, if not avert, the food crisis predicted by Malthusian theory.Research limitations/implicationsThis study used only well-established databases to ensure quality of the studies examined. There is a possibility of missing out on articles from other sources not considered. As a result, future SLR studies may employ additional databases, such as Springer Link, Taylor and Francis, Emerald Insight and Google Scholar. Other methodologies such as expert interviews and extra empirical methodologies may also be employed to give a more balanced picture and insights into ICTs implementation in FVSC.Practical implicationsThis study offers a summative detail of the status of ICT implementation in FVSC and can serve as a reference guide for stakeholders in developing strategies for efficient FVSC management. This research work highlights the impact of ICT implementation in FVSC on the four pillars of food security which include improved availability, accessibility, utilization and stability.Originality/valueThis study focuses on ICT implementation for food security in FVSC. The SLR highlights the gaps and proffers potential solutions that enhance global efforts on food security through ICT-enabled reduction in food waste and food loss in FVSC.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"117 1","pages":"2349-2377"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80996891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Entangling knowledge search and innovation targets for inventing emerging technologies: the case for blockchain technology","authors":"Jingxuan Huang, Qinyi Dong, Jiaxing Li, Lele Kang","doi":"10.1108/imds-01-2022-0047","DOIUrl":"https://doi.org/10.1108/imds-01-2022-0047","url":null,"abstract":"PurposeWhile the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.Design/methodology/approachBased on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.FindingsThe empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.Originality/valueThis study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"86 1","pages":"2294-2318"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76234698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of task characteristics on online group participation behavior: a study using information processing theory","authors":"Yuan Sun, Chenyan Gu, Xinjie Zhou, Rong-An Shang","doi":"10.1108/imds-10-2022-0636","DOIUrl":"https://doi.org/10.1108/imds-10-2022-0636","url":null,"abstract":"PurposeIn the digital age, enterprise social media (ESM) use is becoming more prevalent in the workplace. The “group” function is a very important part in the use of ESM. This paper explores how the characteristics of employees' task requirements affect their group participation behaviors on the ESM.Design/methodology/approachBased on information processing theory, the authors establish a two-stage research model to explore the impact of task characteristics on employees' online group participation behavior in the context of ESM. Data were collected using a survey of 341 Chinese employees.FindingsThe results indicate that (1) task interdependence was positively correlated with participation in small closed groups; (2) task complexity was positively correlated with participation in small groups, large closed groups and open professional groups and (3) task non-routineness was positively correlated with participation in small groups, large closed groups and open professional groups.Originality/valueThis study builds on the literature on task characteristics, information processing theory and employees' online group participation behavior, contributing to the research on ESM in the field of information systems and providing guidance for enterprise practice.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"13 1","pages":"2269-2293"},"PeriodicalIF":0.0,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85912356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Employees' learning behavior in the context of AI collaboration: a perspective on the job demand-control model","authors":"Aihui Chen, Tuo Yang, Jinfeng Ma, Yao-bin Lu","doi":"10.1108/imds-04-2022-0221","DOIUrl":"https://doi.org/10.1108/imds-04-2022-0221","url":null,"abstract":"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.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"33 1","pages":"2169-2193"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86536194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective","authors":"Jung-Chieh Lee, Li Chen, Hengrui Zhang","doi":"10.1108/imds-11-2022-0682","DOIUrl":"https://doi.org/10.1108/imds-11-2022-0682","url":null,"abstract":"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.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"24 1","pages":"2241-2266"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80524974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of human resource strategy on green supply chain integration: the moderating role of information systems and mutual trust","authors":"Faheem Akhtar, Qianwen Wang, Baofeng Huo","doi":"10.1108/imds-01-2023-0049","DOIUrl":"https://doi.org/10.1108/imds-01-2023-0049","url":null,"abstract":"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.","PeriodicalId":13427,"journal":{"name":"Ind. Manag. Data Syst.","volume":"34 1","pages":"2194-2215"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77024522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}