Pub Date : 2024-07-26DOI: 10.1108/imds-07-2023-0498
Pianpian Yang, Yufan Jiang, Yuxi Lin, Shuang Geng, Rui Wang
PurposeThe growing number of firms leveraging social media ads highlight the urgent need for firms to understand social media ads and their effects on consumer perceptions and attitudes. This research examines whether and how different types of social media ads exert influences on ad engagement and how consumers’ psychological characteristics including regulatory orientation and lay rationalism moderate the influence of social media ads on ad engagement.Design/methodology/approachThis research conducts three quasi experiments featuring two types of social media ads – interactive and transactional – to collect empirical evidence. Results are analyzed using ANOVA and Process in SPSS.FindingsThis research reveals that interactive ads lead to higher perceived enjoyment and perceived responsiveness, which further lead to higher ad engagement. Promotion focus moderates the effect of social media ads (interactive vs transactional ads) on perceived enjoyment and perceived responsiveness, and lay rationalism moderates the effect on perceived responsiveness, while prevention focus has no such effect.Originality/valueFirst, this research establishes the connection between ad types and ad engagement in social media, which offers a new perspective to understand ad engagement. Second, it explores the underlying mechanisms of processing different types of social media ads. Third, it justifies the moderating effects of consumers’ regulatory orientation and lay rationalism on the effects of ad types on ad engagement, providing the first evidence on the moderating role of consumers’ lay rationalism in ad processing. This research helps firm marketers to fine-tune their social media ads according to consumer characteristics.
{"title":"Interactive vs transactional: how social media ads engage consumers with disparate regulatory orientation and lay rationalism","authors":"Pianpian Yang, Yufan Jiang, Yuxi Lin, Shuang Geng, Rui Wang","doi":"10.1108/imds-07-2023-0498","DOIUrl":"https://doi.org/10.1108/imds-07-2023-0498","url":null,"abstract":"PurposeThe growing number of firms leveraging social media ads highlight the urgent need for firms to understand social media ads and their effects on consumer perceptions and attitudes. This research examines whether and how different types of social media ads exert influences on ad engagement and how consumers’ psychological characteristics including regulatory orientation and lay rationalism moderate the influence of social media ads on ad engagement.Design/methodology/approachThis research conducts three quasi experiments featuring two types of social media ads – interactive and transactional – to collect empirical evidence. Results are analyzed using ANOVA and Process in SPSS.FindingsThis research reveals that interactive ads lead to higher perceived enjoyment and perceived responsiveness, which further lead to higher ad engagement. Promotion focus moderates the effect of social media ads (interactive vs transactional ads) on perceived enjoyment and perceived responsiveness, and lay rationalism moderates the effect on perceived responsiveness, while prevention focus has no such effect.Originality/valueFirst, this research establishes the connection between ad types and ad engagement in social media, which offers a new perspective to understand ad engagement. Second, it explores the underlying mechanisms of processing different types of social media ads. Third, it justifies the moderating effects of consumers’ regulatory orientation and lay rationalism on the effects of ad types on ad engagement, providing the first evidence on the moderating role of consumers’ lay rationalism in ad processing. This research helps firm marketers to fine-tune their social media ads according to consumer characteristics.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"35 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800464","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}
PurposeWith the popularization of sustainable concepts, how to transform into a sustainable supply chain has received widespread attention in practice. Under this circumstance, this paper aims to propose a theoretical framework of sustainable supply chain transformation (SSCT) from a perspective of resource identification and utilization, investigates resources/capabilities that can be used to promote SSCT and explores how to use resources/capabilities to achieve SSCT effectively.Design/methodology/approachAn inductive multi-case analysis is applied to this paper. Four state-owned/non-state-owned enterprises from the manufacturing sector are selected as the research objectives, which are all leaders in the industry based on the 2022 China TOP 500 Enterprises Ranking. Meanwhile, to guarantee the diversities of enterprises, the four selected enterprises are respectively positioned in upstream and downstream of the supply chain.FindingsA theoretical framework of SSCT is proposed with following research findings: (1) Technology resources, facilities and equipment resources, and business process reengineering capability are the key resources/capabilities to promote SSCT. (2) From the supply chain structure perspective, there exists a leader-participant structure in SSCT. The enterprise with dominant resources/capabilities should actively transfer to a SSCT leader. From the supply chain function perspective, specific sustainability assessment indicators and special teams are two necessary settings for SSCT. From the supply chain lifecycle perspective, SSCT should be promoted in a phased manner and dynamically adjusted in each stage. (3) Digital transformation degree and enterprise ownership play a moderating role in the implementation of strategies.Originality/valueThis paper proposes a conceptual framework of SSCT based on the resource orchestration perspective, which provides decision support for enterprises in practice.
{"title":"Strategy for sustainable supply chain transformation: a resource orchestration perspective","authors":"Xiaoyu Yan, Xiaohong Chen, Chunfang Lu, Weihua Liu, Xiaoran Shi, Yu Gong","doi":"10.1108/imds-11-2023-0877","DOIUrl":"https://doi.org/10.1108/imds-11-2023-0877","url":null,"abstract":"PurposeWith the popularization of sustainable concepts, how to transform into a sustainable supply chain has received widespread attention in practice. Under this circumstance, this paper aims to propose a theoretical framework of sustainable supply chain transformation (SSCT) from a perspective of resource identification and utilization, investigates resources/capabilities that can be used to promote SSCT and explores how to use resources/capabilities to achieve SSCT effectively.Design/methodology/approachAn inductive multi-case analysis is applied to this paper. Four state-owned/non-state-owned enterprises from the manufacturing sector are selected as the research objectives, which are all leaders in the industry based on the 2022 China TOP 500 Enterprises Ranking. Meanwhile, to guarantee the diversities of enterprises, the four selected enterprises are respectively positioned in upstream and downstream of the supply chain.FindingsA theoretical framework of SSCT is proposed with following research findings: (1) Technology resources, facilities and equipment resources, and business process reengineering capability are the key resources/capabilities to promote SSCT. (2) From the supply chain structure perspective, there exists a leader-participant structure in SSCT. The enterprise with dominant resources/capabilities should actively transfer to a SSCT leader. From the supply chain function perspective, specific sustainability assessment indicators and special teams are two necessary settings for SSCT. From the supply chain lifecycle perspective, SSCT should be promoted in a phased manner and dynamically adjusted in each stage. (3) Digital transformation degree and enterprise ownership play a moderating role in the implementation of strategies.Originality/valueThis paper proposes a conceptual framework of SSCT based on the resource orchestration perspective, which provides decision support for enterprises in practice.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"23 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802839","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 : 2024-07-25DOI: 10.1108/imds-01-2024-0015
Shutian Wang, Yan Lin, Lu Yan, Guoqing Zhu
PurposeOnline comments significantly impact consumer choice and product sales. Existing research focuses on the direct effects of online comments on product sales, whereas studies on the spillover effects of online comments are relatively limited, especially for high-involvement products. This study explores the impact of online comments of competing products on focal product sales in high-involvement products.Design/methodology/approachData mining techniques are used to collect 72,367 online comments from the Autohome platform, and sentiment analysis algorithms are used to quantify the textual information for subsequent analysis. Specifically, two panel two-way fixed-effects models are constructed to explore the impact of the average valence and quantity of online comments of competing cars on focal car sales, and analyse this impact in terms of heterogeneity across car price levels, while the moderating effect of online comments of competing cars is explored.FindingsThe results show that the average quantity of online comments of competing cars has a significant effect on the sales of the focal car in the overall sample, while the average valence of online comments of competing cars does not have a significant spillover effect. Moreover, the spillover effect varies by car price level. For high-priced cars, the average quantity of online comments of competing cars significantly and negatively affects focal car sales, and the average valence of online comments of competing cars significantly and negatively moderates the effect of the valence of focal car online comments on its sales. For lower-priced cars, online comments of competing cars don’t significantly affect focal car sales.Originality/valueThis study not only enriches the theory of online comments and high-involvement product sales, but also provides reference and guidance for exploring spillover effects of online comments for other products.
{"title":"Spillover effects of online comments on high-involvement product sales: evidence from the Chinese automobile industry","authors":"Shutian Wang, Yan Lin, Lu Yan, Guoqing Zhu","doi":"10.1108/imds-01-2024-0015","DOIUrl":"https://doi.org/10.1108/imds-01-2024-0015","url":null,"abstract":"PurposeOnline comments significantly impact consumer choice and product sales. Existing research focuses on the direct effects of online comments on product sales, whereas studies on the spillover effects of online comments are relatively limited, especially for high-involvement products. This study explores the impact of online comments of competing products on focal product sales in high-involvement products.Design/methodology/approachData mining techniques are used to collect 72,367 online comments from the Autohome platform, and sentiment analysis algorithms are used to quantify the textual information for subsequent analysis. Specifically, two panel two-way fixed-effects models are constructed to explore the impact of the average valence and quantity of online comments of competing cars on focal car sales, and analyse this impact in terms of heterogeneity across car price levels, while the moderating effect of online comments of competing cars is explored.FindingsThe results show that the average quantity of online comments of competing cars has a significant effect on the sales of the focal car in the overall sample, while the average valence of online comments of competing cars does not have a significant spillover effect. Moreover, the spillover effect varies by car price level. For high-priced cars, the average quantity of online comments of competing cars significantly and negatively affects focal car sales, and the average valence of online comments of competing cars significantly and negatively moderates the effect of the valence of focal car online comments on its sales. For lower-priced cars, online comments of competing cars don’t significantly affect focal car sales.Originality/valueThis study not only enriches the theory of online comments and high-involvement product sales, but also provides reference and guidance for exploring spillover effects of online comments for other products.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"31 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802902","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 : 2024-07-23DOI: 10.1108/imds-09-2023-0661
Xu Zhao, Xiwa Li, Yao Li, Ziqi Wang
PurposeDigital transformation (DT) is a high-risk, long-term and systematic organizational change, which is highly dependent on the level of operation management. According to the resource-based view and innovation theory, this paper aims to examine the impact of DT on firm performance.Design/methodology/approachThis paper empirically tests the impact of DT on firm performance by selecting total factor productivity and innovation outputs as mediating variables from the perspective of process and outcomes, respectively. It uses Shanghai and Shenzhen A-share-listed companies from 2010–2021 as research samples, searching the frequency of keywords about DT in their annual reports.FindingsThe findings reveal the following. First, DT can significantly improve the performance of firms. Second, total factor productivity and innovation outputs play a mediating role between DT and firm performance. Third, the impact of DT on SMEs is more obvious than in bigger ones. However, the effect of DT on performance is more significant in SOEs than non-SOEs. Furthermore, DT positively effects labor-intensive and technology-intensive firms, but negatively effects capital-intensive firms.Originality/valueThis paper first proposes the mechanism analysis from the view of process and outcomes, by using total factor productivity and innovation outputs, which adds depth to the research on the impact of DT on firm performance. Moreover, the authors empirically examine the heterogeneity of the impact of DT on different firm sizes, firm properties and intensity of production factors.
{"title":"The impact of digital transformation on firm performance","authors":"Xu Zhao, Xiwa Li, Yao Li, Ziqi Wang","doi":"10.1108/imds-09-2023-0661","DOIUrl":"https://doi.org/10.1108/imds-09-2023-0661","url":null,"abstract":"PurposeDigital transformation (DT) is a high-risk, long-term and systematic organizational change, which is highly dependent on the level of operation management. According to the resource-based view and innovation theory, this paper aims to examine the impact of DT on firm performance.Design/methodology/approachThis paper empirically tests the impact of DT on firm performance by selecting total factor productivity and innovation outputs as mediating variables from the perspective of process and outcomes, respectively. It uses Shanghai and Shenzhen A-share-listed companies from 2010–2021 as research samples, searching the frequency of keywords about DT in their annual reports.FindingsThe findings reveal the following. First, DT can significantly improve the performance of firms. Second, total factor productivity and innovation outputs play a mediating role between DT and firm performance. Third, the impact of DT on SMEs is more obvious than in bigger ones. However, the effect of DT on performance is more significant in SOEs than non-SOEs. Furthermore, DT positively effects labor-intensive and technology-intensive firms, but negatively effects capital-intensive firms.Originality/valueThis paper first proposes the mechanism analysis from the view of process and outcomes, by using total factor productivity and innovation outputs, which adds depth to the research on the impact of DT on firm performance. Moreover, the authors empirically examine the heterogeneity of the impact of DT on different firm sizes, firm properties and intensity of production factors.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813201","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}
PurposeAs a high-reward strategy to differentiate social platforms, value co-creation is increasingly becoming a tool to enhance customers' social attachment. However, there is still a lack of academic understanding of the value co-creation that enables users to build social attachment with social platforms. To address this challenge, we develop and then examine a theoretical model grounded in value co-creation theory considering the relationship between value co-creation and social attachment, and also explore the mediating effect of user experience and the moderating effect of self-disclosure.Design/methodology/approachThis study takes representative social platform users as the research object, chooses Questionnaire Star as the platform for questionnaire distribution and collection and collects 531 eligible data through the snowball sampling questionnaire method. And then, MPLUS7.4 is used to analyze the data and thus examine our proposed theoretical model.FindingsThe results of structural equation modeling analysis suggest that two dimensions of value co-creation (i.e. initiated value co-creation and spontaneous value co-creation) affect social attachment not only directly but also indirectly (i.e. the mediating role of user experience) and that self-disclosure moderates the impact of value co-creation affecting social attachment.Originality/valueThis study verifies the impact of different dimensions of value co-creation toward social platforms on social attachment, showing that value co-creation plays an important role in developing users' social attachment and provides practical implications for promoting the sustainable development of social platforms and building users' psychological well-being.
{"title":"Value co-creation on social attachment toward social platforms: evidence from developing countries","authors":"Maosheng Yang, Shaobao Xu, Shih-Chih Chen, Juan Li, Yajun Zhou, Ming-Lang Tseng","doi":"10.1108/imds-12-2023-0959","DOIUrl":"https://doi.org/10.1108/imds-12-2023-0959","url":null,"abstract":"PurposeAs a high-reward strategy to differentiate social platforms, value co-creation is increasingly becoming a tool to enhance customers' social attachment. However, there is still a lack of academic understanding of the value co-creation that enables users to build social attachment with social platforms. To address this challenge, we develop and then examine a theoretical model grounded in value co-creation theory considering the relationship between value co-creation and social attachment, and also explore the mediating effect of user experience and the moderating effect of self-disclosure.Design/methodology/approachThis study takes representative social platform users as the research object, chooses Questionnaire Star as the platform for questionnaire distribution and collection and collects 531 eligible data through the snowball sampling questionnaire method. And then, MPLUS7.4 is used to analyze the data and thus examine our proposed theoretical model.FindingsThe results of structural equation modeling analysis suggest that two dimensions of value co-creation (i.e. initiated value co-creation and spontaneous value co-creation) affect social attachment not only directly but also indirectly (i.e. the mediating role of user experience) and that self-disclosure moderates the impact of value co-creation affecting social attachment.Originality/valueThis study verifies the impact of different dimensions of value co-creation toward social platforms on social attachment, showing that value co-creation plays an important role in developing users' social attachment and provides practical implications for promoting the sustainable development of social platforms and building users' psychological well-being.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822584","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 : 2024-07-18DOI: 10.1108/imds-11-2023-0840
Fu Jia, Kexin Li, Lujie Chen, Asif Nazrul, Fang Yan
PurposeThis study aims to systematically review the current academic literature on supply chain transparency (SCT) to explore the impact of SCT on firm performance and identify factors that influencing SCT-related practices.Design/methodology/approachThis review follows the six steps and 14 decisions of conducting a systematic literature review (SLR) to comprehensively review 91 identified papers published between 2007 and 2024.FindingsBased on the content analysis of the selected papers, this study summarizes the antecedents, practices, outcomes as well as potential barriers of SCT. We develop a conceptual framework from the descriptive and thematic findings to enrich the relevant aspects of SCT and propose some critical gaps and directions for future research.Originality/valueThis study links SCT with several outcomes of firm performance, with a particular focus on how SCT affects sustainability in terms of its economic, social, and environmental dimensions as well as supply chain resilience. It proposes potential avenues for enriching SCT in future research.
{"title":"Supply chain transparency: a roadmap for future research","authors":"Fu Jia, Kexin Li, Lujie Chen, Asif Nazrul, Fang Yan","doi":"10.1108/imds-11-2023-0840","DOIUrl":"https://doi.org/10.1108/imds-11-2023-0840","url":null,"abstract":"PurposeThis study aims to systematically review the current academic literature on supply chain transparency (SCT) to explore the impact of SCT on firm performance and identify factors that influencing SCT-related practices.Design/methodology/approachThis review follows the six steps and 14 decisions of conducting a systematic literature review (SLR) to comprehensively review 91 identified papers published between 2007 and 2024.FindingsBased on the content analysis of the selected papers, this study summarizes the antecedents, practices, outcomes as well as potential barriers of SCT. We develop a conceptual framework from the descriptive and thematic findings to enrich the relevant aspects of SCT and propose some critical gaps and directions for future research.Originality/valueThis study links SCT with several outcomes of firm performance, with a particular focus on how SCT affects sustainability in terms of its economic, social, and environmental dimensions as well as supply chain resilience. It proposes potential avenues for enriching SCT in future research.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825750","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 : 2024-07-16DOI: 10.1108/imds-08-2023-0591
Chae-Lin Lim, Woo-Jin Jung, Yea Eun Kim, Chanyoung Eom, Sang-Yong Tom Lee
PurposeThis research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.Design/methodology/approachThe authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.FindingsThe results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.Originality/valueAlthough the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.
研究目的：本研究根据信息技术（IT）投资的特点（如数据管理能力投资、安全改进、IT 外包或新 IT 基础设施投资），探讨信息技术投资的不同影响。长期事件研究（LHES）对于提供更恰当的信息技术投资价值衡量标准至关重要，因为企业的战略决策往往设定了长期和大规模的组织目标，而这些投资所带来的未来现金流存在内在的不确定性。因此，作者旨在分析 IT 投资公告如何长期影响公司股票的异常回报，并比较 IT 投资不同特征的不同影响。设计/方法/途径作者收集了 2000 年至 2018 年韩国上市公司的 IT 投资公告和股票数据，以及公告发布后 5 年的月度股市回报。为了根据投资特点衡量信息技术投资的不同影响，作者将公告数据分为五组。结果表明，信息技术投资公告对公司业绩有长期的积极影响。此外，研究结果还揭示了信息技术投资对不同行业和投资特征的不同影响。值得注意的是，自主开发的信息技术投资和制造业信息技术投资的消息具有显著的积极影响。然而，与人们普遍认为的相反，在数据、安全或新的 IT 基础设施等所谓基本 IT 领域的投资公告并没有产生显著效果。这主要是由于长期收集大规模异常股票回报数据所面临的挑战。本研究是首个根据信息技术投资的特点调查其不同影响的 LHES。通过这样做，本研究可以为企业决策者提供有价值的见解，帮助他们根据 IT 投资的特点了解其市场结果的时间跨度。此外，这项工作还扩展了 LHES 的范围，以理解投资特征的不同影响。例如，管理者需要掌握所谓的基本 IT 投资，如数据管理、安全增强或新的 IT 基础设施，并不一定会产生长期的市场价值。
{"title":"The differential impact of IT investments in the long term: a long-horizon event study","authors":"Chae-Lin Lim, Woo-Jin Jung, Yea Eun Kim, Chanyoung Eom, Sang-Yong Tom Lee","doi":"10.1108/imds-08-2023-0591","DOIUrl":"https://doi.org/10.1108/imds-08-2023-0591","url":null,"abstract":"PurposeThis research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.Design/methodology/approachThe authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.FindingsThe results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.Originality/valueAlthough the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"91 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141642714","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 : 2024-07-16DOI: 10.1108/imds-12-2023-0969
Xiufeng Li, Shaojun Ma, Zhen Zhang
PurposeThe Internet of Things (IoT) platform empowers the digital transformation of the manufacturing industry by providing information technology services. Simultaneously, it enters the market by offering smart products to consumers. In light of different service fee scenarios, this article explores the optimal decision-making for the platform. It investigates the pricing models and entry decisions of IoT platforms.Design/methodology/approachIn this study, we have formulated a game-theoretic model to scrutinize the influence of the IoT platform ventured into the smart device market on the pre-existing suppliers operating under subscription-based and usage-based pricing agreements.FindingsOur outcome shows that introducing an IoT platform’s smart device has a differential effect on manufacturers depending on their contract type. Notably, our research indicates that introducing the platform’s own smart device within the subscription-based model does not negatively impact the profitability of incumbent manufacturers, so long as there is a noticeable discrepancy in the quality of the smart devices. However, our findings within the usage-based model demonstrate that despite the variance in smart device quality differentiation, the platform’s resolution to launch their device and impose their pricing agreements adversely affects established manufacturers. Additionally, we obtain valuable Intel regarding the platform’s entry strategies and contractual inclinations. We demonstrate that the platform is incentivized to present its smart device when reasonable entry costs remain. Furthermore, the platform prefers subscription-based contracts when the subscription fee is relatively high in non-platform entry and entry cases.Originality/valueThese findings hold significant practical implications for firms operating in an IoT-based supply chain.
{"title":"Should the Internet of Things platform enter the smart device market?","authors":"Xiufeng Li, Shaojun Ma, Zhen Zhang","doi":"10.1108/imds-12-2023-0969","DOIUrl":"https://doi.org/10.1108/imds-12-2023-0969","url":null,"abstract":"PurposeThe Internet of Things (IoT) platform empowers the digital transformation of the manufacturing industry by providing information technology services. Simultaneously, it enters the market by offering smart products to consumers. In light of different service fee scenarios, this article explores the optimal decision-making for the platform. It investigates the pricing models and entry decisions of IoT platforms.Design/methodology/approachIn this study, we have formulated a game-theoretic model to scrutinize the influence of the IoT platform ventured into the smart device market on the pre-existing suppliers operating under subscription-based and usage-based pricing agreements.FindingsOur outcome shows that introducing an IoT platform’s smart device has a differential effect on manufacturers depending on their contract type. Notably, our research indicates that introducing the platform’s own smart device within the subscription-based model does not negatively impact the profitability of incumbent manufacturers, so long as there is a noticeable discrepancy in the quality of the smart devices. However, our findings within the usage-based model demonstrate that despite the variance in smart device quality differentiation, the platform’s resolution to launch their device and impose their pricing agreements adversely affects established manufacturers. Additionally, we obtain valuable Intel regarding the platform’s entry strategies and contractual inclinations. We demonstrate that the platform is incentivized to present its smart device when reasonable entry costs remain. Furthermore, the platform prefers subscription-based contracts when the subscription fee is relatively high in non-platform entry and entry cases.Originality/valueThese findings hold significant practical implications for firms operating in an IoT-based supply chain.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"12 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640254","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 : 2024-06-07DOI: 10.1108/imds-07-2023-0515
Xinjian Li, Yu Zhang, Juan Wang, Xiaoling Li
PurposeIn online exchange platforms' sponsored search advertising, the array of product quality signals within a keyword search results list plays a crucial role in shaping buyers' purchasing decisions. This research seeks to explore the impact of various quality signals – namely, ranking position, seller reputation and product price – on ad clicks. Additionally, it examines the role of keyword attributes, such as specificity and popularity, in modulating the effects of these quality signals on advertising clicks.Design/methodology/approachA total of 5,763 effective data points were collected from a leading B2B electronic platform company, and we employed negative binomial regression with Heckman correction methods to test the hypotheses.FindingsThe results indicate that in online exchange platforms, search ad clicks are significantly and positively affected by displayed signals such as ranking position, seller reputation and product price information. Notably, a U-shaped relationship emerges between product price and ad clicks. Furthermore, keyword specificity and popularity distinctly moderate the impact of these displayed signals on ad clicks within online exchange platforms.Originality/valueThis paper addresses the gap in existing research on search advertising by methodically analyzing the impact of various signals displayed in search results and how keyword attributes moderate ad clicks, all through a signaling theory lens.
目的 在在线交易平台的赞助搜索广告中，关键字搜索结果列表中的一系列产品质量信号对买家的购买决策起着至关重要的作用。本研究旨在探讨各种质量信号（即排名位置、卖家声誉和产品价格）对广告点击的影响。结果研究结果表明，在在线交换平台上，搜索广告点击量受到排名位置、卖家声誉和产品价格信息等显示信号的显著正向影响。值得注意的是，产品价格与广告点击之间呈现出 U 型关系。此外，在在线交换平台中，关键词的特定性和流行度明显缓和了这些显示信号对广告点击量的影响。 原创性/价值 本文通过信号理论的视角，有条不紊地分析了搜索结果中显示的各种信号的影响以及关键词属性如何缓和广告点击量，填补了现有搜索广告研究的空白。
{"title":"Exploring the effects of quality signals on search advertising performance: the moderating role of keyword attributes","authors":"Xinjian Li, Yu Zhang, Juan Wang, Xiaoling Li","doi":"10.1108/imds-07-2023-0515","DOIUrl":"https://doi.org/10.1108/imds-07-2023-0515","url":null,"abstract":"PurposeIn online exchange platforms' sponsored search advertising, the array of product quality signals within a keyword search results list plays a crucial role in shaping buyers' purchasing decisions. This research seeks to explore the impact of various quality signals – namely, ranking position, seller reputation and product price – on ad clicks. Additionally, it examines the role of keyword attributes, such as specificity and popularity, in modulating the effects of these quality signals on advertising clicks.Design/methodology/approachA total of 5,763 effective data points were collected from a leading B2B electronic platform company, and we employed negative binomial regression with Heckman correction methods to test the hypotheses.FindingsThe results indicate that in online exchange platforms, search ad clicks are significantly and positively affected by displayed signals such as ranking position, seller reputation and product price information. Notably, a U-shaped relationship emerges between product price and ad clicks. Furthermore, keyword specificity and popularity distinctly moderate the impact of these displayed signals on ad clicks within online exchange platforms.Originality/valueThis paper addresses the gap in existing research on search advertising by methodically analyzing the impact of various signals displayed in search results and how keyword attributes moderate ad clicks, all through a signaling theory lens.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372354","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 : 2024-06-06DOI: 10.1108/imds-10-2023-0778
Chin-Tsu Chen, Shih-Chih Chen, Asif Khan, Ming K. Lim, Ming-Lang Tseng
PurposeThis study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI tool on the operational and environmental performance.Design/methodology/approachThis study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users.FindingsThis study’s main finding is that the considered antecedents – including technological, organizational and environmental contexts, tangible resources and workforce skills – are significantly associated with BDA-AI adoption. Notably, BDA-AI adoption exhibits a significant relationship with operational performance, environmental performance and environmental process integration. Moreover, environmental process integration is significantly correlated with environmental performance. Lastly, operational performance is significantly correlated with environmental performance.Originality/valueThis study contributes to the heavily lacking but developing literature on the antecedents and consequences of BDA-AI adoption. Its theoretical foundation consists of the technological-organizational-environmental model, Roger’s diffusion of innovation theory and resource-based view theory.
{"title":"Antecedents of big data analytics and artificial intelligence adoption on operational performance: the ChatGPT platform","authors":"Chin-Tsu Chen, Shih-Chih Chen, Asif Khan, Ming K. Lim, Ming-Lang Tseng","doi":"10.1108/imds-10-2023-0778","DOIUrl":"https://doi.org/10.1108/imds-10-2023-0778","url":null,"abstract":"PurposeThis study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI tool on the operational and environmental performance.Design/methodology/approachThis study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users.FindingsThis study’s main finding is that the considered antecedents – including technological, organizational and environmental contexts, tangible resources and workforce skills – are significantly associated with BDA-AI adoption. Notably, BDA-AI adoption exhibits a significant relationship with operational performance, environmental performance and environmental process integration. Moreover, environmental process integration is significantly correlated with environmental performance. Lastly, operational performance is significantly correlated with environmental performance.Originality/valueThis study contributes to the heavily lacking but developing literature on the antecedents and consequences of BDA-AI adoption. Its theoretical foundation consists of the technological-organizational-environmental model, Roger’s diffusion of innovation theory and resource-based view theory.","PeriodicalId":508405,"journal":{"name":"Industrial Management & Data Systems","volume":"39 s179","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377543","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：