Pub Date : 2024-06-06DOI: 10.1108/imds-07-2023-0497
Rongrong Shi, Baojun Yang, Zhaofang Chu, Fujun Lai
PurposeDigitalization brings complexity and challenges to the relationship governance between logistics outsourcers and their providers. Drawn on resource dependence theory (RDT) and resource-based view (RBV), this study aims to examine the role of relationship commitment in simultaneously managing dependence and improving operational performance in logistics outsourcing in the digital economy, as well as the contingent factors (i.e. communication, relationship length, and company size) that affect the effectiveness of relationship commitment.Design/methodology/approachBased on data collected from 130 third-party logistics (3PL) users in China, our model was tested with the partial least squares (PLS) approach.FindingsFirst, relationship commitment is necessary for 3PL users to manage dependence on 3PL providers and improve operational performance in the digital economy. Second, communication helps 3PL users to develop higher relationship commitment but weakens the motivating effect of dependence on relationship commitment. Third, a long relationship history develops inertia to diminish the effectiveness of dependence on driving relationship commitment while it boosts the impact of relationship commitment on operational performance. Last, company size is an important signal to amplify the effectiveness of relationship commitment for operational performance enhancement.Originality/valueThis study contributes to the logistics outsourcing literature by integrating RDT and RBV to explain the twofold roles of relationship commitment, simultaneously tackling dependence and enhancing operational performance in the digital economy. Additionally, it expands the understanding of the boundary conditions (e.g. communication, relationship length, and company size) on these twofold roles.
{"title":"The role of relationship commitment in managing logistics outsourcing in the digital economy","authors":"Rongrong Shi, Baojun Yang, Zhaofang Chu, Fujun Lai","doi":"10.1108/imds-07-2023-0497","DOIUrl":"https://doi.org/10.1108/imds-07-2023-0497","url":null,"abstract":"PurposeDigitalization brings complexity and challenges to the relationship governance between logistics outsourcers and their providers. Drawn on resource dependence theory (RDT) and resource-based view (RBV), this study aims to examine the role of relationship commitment in simultaneously managing dependence and improving operational performance in logistics outsourcing in the digital economy, as well as the contingent factors (i.e. communication, relationship length, and company size) that affect the effectiveness of relationship commitment.Design/methodology/approachBased on data collected from 130 third-party logistics (3PL) users in China, our model was tested with the partial least squares (PLS) approach.FindingsFirst, relationship commitment is necessary for 3PL users to manage dependence on 3PL providers and improve operational performance in the digital economy. Second, communication helps 3PL users to develop higher relationship commitment but weakens the motivating effect of dependence on relationship commitment. Third, a long relationship history develops inertia to diminish the effectiveness of dependence on driving relationship commitment while it boosts the impact of relationship commitment on operational performance. Last, company size is an important signal to amplify the effectiveness of relationship commitment for operational performance enhancement.Originality/valueThis study contributes to the logistics outsourcing literature by integrating RDT and RBV to explain the twofold roles of relationship commitment, simultaneously tackling dependence and enhancing operational performance in the digital economy. Additionally, it expands the understanding of the boundary conditions (e.g. communication, relationship length, and company size) on these twofold roles.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"29 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379563","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}
Pub Date : 2024-06-04DOI: 10.1108/imds-08-2023-0551
Philip T. Roundy, Arben Asllani
PurposeAn emerging research stream focuses on the place-based ecosystems where artificial intelligence (AI) innovations emerge and develop. This literature builds on the contextual turn in management research and, specifically, work on entrepreneurial ecosystems. However, as a nascent research area, the literature on AI and entrepreneurial ecosystems is fragmented across academic and practitioner boundaries and unconnected disciplines because of disparate and ill-defined concepts. As a result, the literature is disorganized and its main insights are latent. The purpose of this paper is to synthesize research on AI ecosystems and identify the main insights.Design/methodology/approachWe first consolidate research on the “where” of AI innovation through a scoping review. To address the fragmentation in the literature and understand how entrepreneurial ecosystems are associated with AI innovation, we then use content analysis to explore the literature.FindingsWe identify the main characteristics of the AI and ecosystems literature and the key dimensions of “AI entrepreneurial ecosystems”: the local actors and factors in geographic territories that are coordinated to support the creation and development of AI technologies. We clarify the relationships among AI technologies and ecosystem dimensions and uncover the latent themes and underlying structure of research on AI entrepreneurial ecosystems.Originality/valueWe increase conceptual precision by introducing and defining an umbrella concept—AI entrepreneurial ecosystem—and propose a research agenda to spur further insights. Our analysis contributes to research at the intersection of management, information systems, and entrepreneurship and creates actionable insights for practitioners influenced by the geographic agglomeration of AI innovation.
{"title":"Understanding AI innovation contexts: a review and content analysis of artificial intelligence and entrepreneurial ecosystems research","authors":"Philip T. Roundy, Arben Asllani","doi":"10.1108/imds-08-2023-0551","DOIUrl":"https://doi.org/10.1108/imds-08-2023-0551","url":null,"abstract":"PurposeAn emerging research stream focuses on the place-based ecosystems where artificial intelligence (AI) innovations emerge and develop. This literature builds on the contextual turn in management research and, specifically, work on entrepreneurial ecosystems. However, as a nascent research area, the literature on AI and entrepreneurial ecosystems is fragmented across academic and practitioner boundaries and unconnected disciplines because of disparate and ill-defined concepts. As a result, the literature is disorganized and its main insights are latent. The purpose of this paper is to synthesize research on AI ecosystems and identify the main insights.Design/methodology/approachWe first consolidate research on the “where” of AI innovation through a scoping review. To address the fragmentation in the literature and understand how entrepreneurial ecosystems are associated with AI innovation, we then use content analysis to explore the literature.FindingsWe identify the main characteristics of the AI and ecosystems literature and the key dimensions of “AI entrepreneurial ecosystems”: the local actors and factors in geographic territories that are coordinated to support the creation and development of AI technologies. We clarify the relationships among AI technologies and ecosystem dimensions and uncover the latent themes and underlying structure of research on AI entrepreneurial ecosystems.Originality/valueWe increase conceptual precision by introducing and defining an umbrella concept—AI entrepreneurial ecosystem—and propose a research agenda to spur further insights. Our analysis contributes to research at the intersection of management, information systems, and entrepreneurship and creates actionable insights for practitioners influenced by the geographic agglomeration of AI innovation.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"1 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141265914","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}
Pub Date : 2024-05-17DOI: 10.1108/imds-05-2023-0337
Minghong Chen, Xiumei Huang, Xianjun Qi
PurposeIn the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.Design/methodology/approachPrivacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.FindingsThe results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.Originality/valueThis study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.
目的 在个性化服务与隐私风险的矛盾中，哪些因素会影响用户的决定是一个值得探讨的有趣问题。本研究旨在通过建立一个基于隐私微积分理论的理论模型，对社交媒体用户的隐私行为进行实证探索。设计/方法/途径隐私风险被概念化为自然风险和综合风险，被提出来影响隐私披露和保护的意向。通过结构方程建模（SEM）--人工神经网络（ANN）的混合方法，对从 527 个有效回复中收集到的数据进行分析，验证了该模型。同样，信任和隐私被侵犯的经历与感知风险显著相关，而感知风险对用户隐私保护意向的影响最大。本研究拓宽了隐私微积分理论的应用视角，通过结合 SEM 和 ANN 的先进方法，识别了隐私风险和隐私利益对用户披露或保护隐私意向的线性和非线性影响。
{"title":"To disclose or to protect? Predicting social media users’ behavioral intention toward privacy","authors":"Minghong Chen, Xiumei Huang, Xianjun Qi","doi":"10.1108/imds-05-2023-0337","DOIUrl":"https://doi.org/10.1108/imds-05-2023-0337","url":null,"abstract":"PurposeIn the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.Design/methodology/approachPrivacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.FindingsThe results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.Originality/valueThis study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140963259","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}
Pub Date : 2024-05-16DOI: 10.1108/imds-06-2023-0396
Depeng Zhang, Jiaxin Ma, Zhenxing He
PurposeWith the appearance of additional review functionality on e-commerce platforms emotional changes in composite reviews have become more diverse. How consumers process the emotional changes in composite reviews is an important concern for companies. This study investigates the impact of explores how changes in the emotional valence and emotional intensity of composite reviews on consumers' information adoption.Design/methodology/approachBased on emotion as social information theory, this study constructs a double mediation model of how the change in emotional valence of composite reviews affects consumers' adoption intention and examines the moderating effect of the dynamic change of emotional intensity. One field and three online experiments were conducted to test the proposed hypotheses.FindingsConsumers were more likely to adopt positive–negative composite reviews than negative–positive composite reviews. Compared to negative–positive composite reviews, positive–negative composite reviews led to higher perceived empathy and lower motivational suspicion, which, in turn, led to higher information adoption. Moreover, dynamic changes in emotional intensity played a moderating role in this effect. Interestingly, the amount of attribute difference changed the differences in perceived empathy and motivated consumer suspicion generated by the composite review when considering the reviewer’s attribute difference description.Originality/valueThe findings have important theoretical contributions that deepen business and consumer understanding of the impact of composite reviews and have practical implications for improving the management of composite reviews by businesses.
{"title":"The effect of emotional changes in composite reviews on consumers' information adoption from a dual perspective","authors":"Depeng Zhang, Jiaxin Ma, Zhenxing He","doi":"10.1108/imds-06-2023-0396","DOIUrl":"https://doi.org/10.1108/imds-06-2023-0396","url":null,"abstract":"PurposeWith the appearance of additional review functionality on e-commerce platforms emotional changes in composite reviews have become more diverse. How consumers process the emotional changes in composite reviews is an important concern for companies. This study investigates the impact of explores how changes in the emotional valence and emotional intensity of composite reviews on consumers' information adoption.Design/methodology/approachBased on emotion as social information theory, this study constructs a double mediation model of how the change in emotional valence of composite reviews affects consumers' adoption intention and examines the moderating effect of the dynamic change of emotional intensity. One field and three online experiments were conducted to test the proposed hypotheses.FindingsConsumers were more likely to adopt positive–negative composite reviews than negative–positive composite reviews. Compared to negative–positive composite reviews, positive–negative composite reviews led to higher perceived empathy and lower motivational suspicion, which, in turn, led to higher information adoption. Moreover, dynamic changes in emotional intensity played a moderating role in this effect. Interestingly, the amount of attribute difference changed the differences in perceived empathy and motivated consumer suspicion generated by the composite review when considering the reviewer’s attribute difference description.Originality/valueThe findings have important theoretical contributions that deepen business and consumer understanding of the impact of composite reviews and have practical implications for improving the management of composite reviews by businesses.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"44 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971398","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}
Pub Date : 2024-05-15DOI: 10.1108/imds-07-2023-0513
Aihui Chen, Yaning Chen, Ruohan Li, Yaobin Lu
PurposeLive-streaming e-commerce is becoming a new way for many consumers to shop. During the live broadcast process, the interaction between anchors and customers plays a decisive role on consumers' purchasing decisions. This study aims to explore how two types of interaction between the anchor and the customers (i.e. task-oriented interaction and relationship-oriented interaction) affect customers' purchase decisions.Design/methodology/approachThe study establishes a model based on online trust theory and multi-sensor interaction theory. To validate the model, we carried out five simulated live-streaming events and collected data through a scenario-based survey of the viewers participating in the live-streaming (N = 244). Structural equation modeling was employed to test the hypotheses.FindingsBoth task-oriented interaction and relationship-oriented interaction have a positive impact on users' purchase decisions through the mediation of virtual touch, emotional trust and cognitive trust. Sense of power has opposite moderating effects on the impacts of relationship-oriented interaction on emotional trust and cognitive trust.Originality/valueThis study enriches the theory of live-streaming e-commerce by demonstrating the decisive roles of two types of anchor–customer interaction, the mediation roles of virtual touch, cognitive trust, and emotional trust in customer purchase decisions, as well as the moderating effect of sense of power on customer decision-making processes. The findings provide practical insights for anchors and live-streaming platforms about how they should arrange live-streaming content to enhance consumer purchasing decisions.
{"title":"The interaction between the anchor and customers in live-streaming E-commerce","authors":"Aihui Chen, Yaning Chen, Ruohan Li, Yaobin Lu","doi":"10.1108/imds-07-2023-0513","DOIUrl":"https://doi.org/10.1108/imds-07-2023-0513","url":null,"abstract":"PurposeLive-streaming e-commerce is becoming a new way for many consumers to shop. During the live broadcast process, the interaction between anchors and customers plays a decisive role on consumers' purchasing decisions. This study aims to explore how two types of interaction between the anchor and the customers (i.e. task-oriented interaction and relationship-oriented interaction) affect customers' purchase decisions.Design/methodology/approachThe study establishes a model based on online trust theory and multi-sensor interaction theory. To validate the model, we carried out five simulated live-streaming events and collected data through a scenario-based survey of the viewers participating in the live-streaming (N = 244). Structural equation modeling was employed to test the hypotheses.FindingsBoth task-oriented interaction and relationship-oriented interaction have a positive impact on users' purchase decisions through the mediation of virtual touch, emotional trust and cognitive trust. Sense of power has opposite moderating effects on the impacts of relationship-oriented interaction on emotional trust and cognitive trust.Originality/valueThis study enriches the theory of live-streaming e-commerce by demonstrating the decisive roles of two types of anchor–customer interaction, the mediation roles of virtual touch, cognitive trust, and emotional trust in customer purchase decisions, as well as the moderating effect of sense of power on customer decision-making processes. The findings provide practical insights for anchors and live-streaming platforms about how they should arrange live-streaming content to enhance consumer purchasing decisions.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140976240","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}
Pub Date : 2024-05-07DOI: 10.1108/imds-08-2023-0521
W. Bommer, Sandip Roy, Emil Milevoj, Shailesh Rana
PurposeThis study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.Design/methodology/approachMeta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.FindingsA parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.Practical implicationsRelatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.Originality/valueThis is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.
{"title":"Factors influencing consumers’ Airbnb use intention: a meta-analytic analysis using the UTAUT2","authors":"W. Bommer, Sandip Roy, Emil Milevoj, Shailesh Rana","doi":"10.1108/imds-08-2023-0521","DOIUrl":"https://doi.org/10.1108/imds-08-2023-0521","url":null,"abstract":"PurposeThis study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.Design/methodology/approachMeta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.FindingsA parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.Practical implicationsRelatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.Originality/valueThis is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"149 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141001966","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}
Pub Date : 2024-05-06DOI: 10.1108/imds-08-2023-0572
Ling Liang, Jiqing Xie, Jie Ren, Jialiang Wang, Chang Wang
PurposeInformation opacity in donation crowdfunding activities has constrained the healthy development of China’s public welfare activities. Addressing the trust crisis and enhancing public engagement warrants further investigation. This study aims to uncover the moderating effect of activity transparency by utilizing data from 1,029 donation crowdfunding projects on the Sina Weibo Public Welfare Social Platform. In this way, we seek to elucidate the impact of donation crowdfunding events on fundraising ability.Design/methodology/approachThis study selects text complexity, number of supporters, creator experience, and social capital as explanatory variables; innovatively selects the number of updates of online crowdfunding activities and total reading volume as moderating variables; selects the number of shares of crowdfunding activities as a mediating variable; and constructs a moderated mediation multiple regression model for fundraising ability.FindingsOur findings indicate that independent variables, such as text complexity, number of supporters, and social capital, can significantly affect the dependent variable, fundraising ability. However, creator experience does not influence fundraising ability. Furthermore, social interaction has a mediating effect, whereas activity transparency has a reverse moderating effect. These results indicate that social interaction can enhance the fundraising ability of donation crowdfunding events. However, with an increase in information transparency, the fundraising ability of social media decreases.Originality/valueThe originality of this research is in clarifying the internal factors affecting fundraising ability through induction, making bold assumptions, and focusing on how social media’s effective interaction and activity transparency will affect public welfare crowdfunding fundraising ability.
{"title":"Does transparency facilitate the fundraising capacity of public welfare crowdfunding?An empirical examination on Weibo","authors":"Ling Liang, Jiqing Xie, Jie Ren, Jialiang Wang, Chang Wang","doi":"10.1108/imds-08-2023-0572","DOIUrl":"https://doi.org/10.1108/imds-08-2023-0572","url":null,"abstract":"PurposeInformation opacity in donation crowdfunding activities has constrained the healthy development of China’s public welfare activities. Addressing the trust crisis and enhancing public engagement warrants further investigation. This study aims to uncover the moderating effect of activity transparency by utilizing data from 1,029 donation crowdfunding projects on the Sina Weibo Public Welfare Social Platform. In this way, we seek to elucidate the impact of donation crowdfunding events on fundraising ability.Design/methodology/approachThis study selects text complexity, number of supporters, creator experience, and social capital as explanatory variables; innovatively selects the number of updates of online crowdfunding activities and total reading volume as moderating variables; selects the number of shares of crowdfunding activities as a mediating variable; and constructs a moderated mediation multiple regression model for fundraising ability.FindingsOur findings indicate that independent variables, such as text complexity, number of supporters, and social capital, can significantly affect the dependent variable, fundraising ability. However, creator experience does not influence fundraising ability. Furthermore, social interaction has a mediating effect, whereas activity transparency has a reverse moderating effect. These results indicate that social interaction can enhance the fundraising ability of donation crowdfunding events. However, with an increase in information transparency, the fundraising ability of social media decreases.Originality/valueThe originality of this research is in clarifying the internal factors affecting fundraising ability through induction, making bold assumptions, and focusing on how social media’s effective interaction and activity transparency will affect public welfare crowdfunding fundraising ability.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"28 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141008411","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}
Pub Date : 2024-05-01DOI: 10.1108/imds-12-2023-0963
Ruoting Qiao, Longjun Liu
PurposeThis study aims to clarify why and when digital business strategy (DBS) helps manufacturing firms generate value co-creation (VC) with different stakeholders in the digital context of China. This study considers external network capability (ENC) and internal network capability (INC) as mediation mechanism, and strategic flexibility (SF) as theoretical boundary.Design/methodology/approachQuestionnaires were used and filled out by executives from manufacturing firms. The manufacturing samples from 289 different fields in China were used for hypothesis testing, and the structural equation model was the main analytical method.FindingsThis study found that DBS of manufacturing enterprises has a positive impact on VC. Specifically, DBS affects firm-partner VC and firm-consumer VC through the indirect positive effect of ENC, and affects firm-employee VC through INV. The positive effects of ENC on firm-partner VC and firm-consumer VC, as well as INC on firm-employee VC, are weak at high (or low) SF, and are strongest at moderate SF.Practical implicationsThis study provides manufacturing firms with practical insights into why and when they can implement DBS to generate VC, with a particular emphasis on the weighted role of SF.Originality/valueThis study spotlights gaps in the literature on why and when manufacturing firms can reap the benefits of DBS, focusing on one important business outcome – VC. The authors clarify the mediating role of differences in ENC and INC, as well as the inverted U-shaped moderating role of SF.
目的 本研究旨在阐明在中国数字化背景下，数字化商业战略（DBS）为何以及何时帮助制造企业与不同利益相关者共同创造价值（VC）。本研究以外部网络能力（ENC）和内部网络能力（INC）为中介机制，以战略灵活性（SF）为理论边界。研究结果本研究发现，制造业企业的 DBS 对风险投资有积极影响。具体而言，DBS 通过 ENC 的间接正效应影响企业-合作伙伴风险投资和企业-消费者风险投资，通过 INV 影响企业-员工风险投资。ENC对企业合伙人风险投资和企业-消费者风险投资的积极影响，以及INC对企业-员工风险投资的积极影响，在高（或低）SF时较弱，而在中等SF时最强。作者阐明了 ENC 和 INC 差异的中介作用，以及 SF 的倒 U 型调节作用。
{"title":"Why and when does digital business strategy help manufacturers generate value co-creation with different stakeholders?","authors":"Ruoting Qiao, Longjun Liu","doi":"10.1108/imds-12-2023-0963","DOIUrl":"https://doi.org/10.1108/imds-12-2023-0963","url":null,"abstract":"PurposeThis study aims to clarify why and when digital business strategy (DBS) helps manufacturing firms generate value co-creation (VC) with different stakeholders in the digital context of China. This study considers external network capability (ENC) and internal network capability (INC) as mediation mechanism, and strategic flexibility (SF) as theoretical boundary.Design/methodology/approachQuestionnaires were used and filled out by executives from manufacturing firms. The manufacturing samples from 289 different fields in China were used for hypothesis testing, and the structural equation model was the main analytical method.FindingsThis study found that DBS of manufacturing enterprises has a positive impact on VC. Specifically, DBS affects firm-partner VC and firm-consumer VC through the indirect positive effect of ENC, and affects firm-employee VC through INV. The positive effects of ENC on firm-partner VC and firm-consumer VC, as well as INC on firm-employee VC, are weak at high (or low) SF, and are strongest at moderate SF.Practical implicationsThis study provides manufacturing firms with practical insights into why and when they can implement DBS to generate VC, with a particular emphasis on the weighted role of SF.Originality/valueThis study spotlights gaps in the literature on why and when manufacturing firms can reap the benefits of DBS, focusing on one important business outcome – VC. The authors clarify the mediating role of differences in ENC and INC, as well as the inverted U-shaped moderating role of SF.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"137 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032216","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}
Pub Date : 2024-04-02DOI: 10.1108/imds-08-2022-0484
Erfan Shakibaei Bonakdeh, Amrik Sohal, Koorosh Rajabkhah, Daniel Prajogo, Angela Melder, Dinh Quy Nguyen, Gordon Bingham, Erica Tong
PurposeAdoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.Design/methodology/approachA systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.FindingsThirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.Practical implicationsThis study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.Originality/valueTo the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.
目的采用临床决策支持系统（CDSS）是医疗保健行业向数字化转型的关键一步。本综述旨在确定和归纳住院医疗机构采用 CDSS 的影响因素，从而了解这一现象并确定未来的研究缺口。 设计/方法/途径 2010 年 1 月至 2023 年 6 月期间，对五个数据库（Medline、EMBASE、PsycINFO、Web of Science 和 Scopus）进行了系统的文献检索。检索策略包括以下关键词及其同义词：临床决策支持、医院或二级护理以及影响因素。研究结果对 13 篇论文进行了系统的审查和综合，并按照技术-组织-环境理论的三个主要结构进行了演绎分类。研究 CDSS 的采用及其挑战的论文明显不足，尤其是在发展中国家。帮助采用者积极应对挑战的策略包括(1)医院领导者需要与利益相关者达成共识，制定明确的数字化战略；(2)开发模块化 IT 解决方案并进行情景分析，以实现 IT 目标；(3)政府政策、认证标准和采购指南在驾驭复杂的 CDSS 市场方面发挥着至关重要的作用。以前的文献只涉及实施和实施后阶段的挑战和促进因素。本研究以理论提炼的视角，重点关注 CDSS 技术在企业层面的采用阶段。
{"title":"Influential factors in the adoption of clinical decision support systems in hospital settings: a systematic review and meta-synthesis of qualitative studies","authors":"Erfan Shakibaei Bonakdeh, Amrik Sohal, Koorosh Rajabkhah, Daniel Prajogo, Angela Melder, Dinh Quy Nguyen, Gordon Bingham, Erica Tong","doi":"10.1108/imds-08-2022-0484","DOIUrl":"https://doi.org/10.1108/imds-08-2022-0484","url":null,"abstract":"PurposeAdoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.Design/methodology/approachA systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.FindingsThirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.Practical implicationsThis study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.Originality/valueTo the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"27 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352551","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}
Pub Date : 2024-04-02DOI: 10.1108/imds-03-2023-0144
Xiu-Ming Loh, Voon‐Hsien Lee, Lai-Ying Leong
PurposeThis study looks to understand the opposing forces that would influence continuance intention. This is significant as users will take into account the positive and negative use experiences in determining their continuance intention. Therefore, this study looks to highlight the opposing forces of users’ continuance intention by proposing the Expectation-Confirmation-Resistance Model (ECRM).Design/methodology/approachThrough an online survey, 411 responses were obtained from mobile payment users. Subsequently, a hybrid approach comprised of the Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) was utilized to analyze the data.FindingsThe results revealed that all hypotheses proposed in the ECRM are supported. More precisely, the facilitating and inhibiting variables were found to significantly affect continuance intention. In addition, the ECRM was revealed to possess superior explanatory power over the original model in predicting continuance intention.Originality/valueThis study successfully developed and validated the ECRM which captures both facilitators and inhibitors of continuance intention. Besides, the relevance and significance of users’ innovative resistance to continuance intention have been highlighted. Following this, effective business and research strategies can be developed by taking into account the opposing forces that affect users’ continuance intention.
{"title":"Understanding the opposing forces of continuance intention: a hybrid SEM-ANN approach","authors":"Xiu-Ming Loh, Voon‐Hsien Lee, Lai-Ying Leong","doi":"10.1108/imds-03-2023-0144","DOIUrl":"https://doi.org/10.1108/imds-03-2023-0144","url":null,"abstract":"PurposeThis study looks to understand the opposing forces that would influence continuance intention. This is significant as users will take into account the positive and negative use experiences in determining their continuance intention. Therefore, this study looks to highlight the opposing forces of users’ continuance intention by proposing the Expectation-Confirmation-Resistance Model (ECRM).Design/methodology/approachThrough an online survey, 411 responses were obtained from mobile payment users. Subsequently, a hybrid approach comprised of the Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) was utilized to analyze the data.FindingsThe results revealed that all hypotheses proposed in the ECRM are supported. More precisely, the facilitating and inhibiting variables were found to significantly affect continuance intention. In addition, the ECRM was revealed to possess superior explanatory power over the original model in predicting continuance intention.Originality/valueThis study successfully developed and validated the ECRM which captures both facilitators and inhibitors of continuance intention. Besides, the relevance and significance of users’ innovative resistance to continuance intention have been highlighted. Following this, effective business and research strategies can be developed by taking into account the opposing forces that affect users’ continuance intention.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"34 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352639","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}
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