Pub Date : 2023-12-20DOI: 10.1108/itp-01-2023-0007
Wantao Yu, Qi Liu, R. Chavez, Linchang Zheng
PurposeMany firms are now pursuing large-scale change initiatives to accelerate their digital transformation (DT) and sustainable development. However, the success rate of DT projects is still low, and the extent to which DT enables firms to improve environmental sustainability (ES) remains unclear. Recently, researchers have argued that DT is more about people transformation rather than technology. Based on the contingent resource-based view, this study investigates how DT influences ES and examines the moderating role of training provision (TP).Design/methodology/approachSurvey data gathered from manufacturers in China were analysed to test the proposed theoretical framework.FindingsThe results indicate that DT has a positive impact on ES, and that this effect is positively moderated by TP.Practical implicationsThe empirical findings provide insights for managers to understand the success of digital sustainability transformation requires necessary digital knowledge and skills derived from TP.Originality/valueThis study provides an initial examination of digital sustainability, which is a new stream of literature for the digital age, and further extends existing knowledge by demonstrating the importance of people (i.e. TP) in strengthening the effectiveness of DT on ES.
{"title":"Does training provision matter? Unravelling the impact of digital transformation on environmental sustainability","authors":"Wantao Yu, Qi Liu, R. Chavez, Linchang Zheng","doi":"10.1108/itp-01-2023-0007","DOIUrl":"https://doi.org/10.1108/itp-01-2023-0007","url":null,"abstract":"PurposeMany firms are now pursuing large-scale change initiatives to accelerate their digital transformation (DT) and sustainable development. However, the success rate of DT projects is still low, and the extent to which DT enables firms to improve environmental sustainability (ES) remains unclear. Recently, researchers have argued that DT is more about people transformation rather than technology. Based on the contingent resource-based view, this study investigates how DT influences ES and examines the moderating role of training provision (TP).Design/methodology/approachSurvey data gathered from manufacturers in China were analysed to test the proposed theoretical framework.FindingsThe results indicate that DT has a positive impact on ES, and that this effect is positively moderated by TP.Practical implicationsThe empirical findings provide insights for managers to understand the success of digital sustainability transformation requires necessary digital knowledge and skills derived from TP.Originality/valueThis study provides an initial examination of digital sustainability, which is a new stream of literature for the digital age, and further extends existing knowledge by demonstrating the importance of people (i.e. TP) in strengthening the effectiveness of DT on ES.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956530","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 : 2023-12-19DOI: 10.1108/itp-11-2022-0826
Joshua Ofoeda, R. Boateng, J. Effah
PurposeDigital platforms increase their function and scope by leveraging boundary resources and complementary add-on products from third-party developers to interact with external entities and producers. Application Programming Interfaces (APIs) are essential boundary resources developers use to connect applications, systems and platforms. This notwithstanding, previous API studies tend to focus more on the technical dimensions, with little on the social and cultural contexts underpinning API innovations. This study relies on the new (neo) institutional theory (focusing on regulative, normative and cultural-cognitive pillars) as an analytical lens to understand the institutional forces that affect API integration among digital firms.Design/methodology/approachThe study adopts a qualitative case study methodology and relies on phone calls and a semi-structured in-depth interview approach of a Ghanaian digital music platform to uncover the institutional forces affecting API integration.FindingsThe findings reveal that regulative institutions such as excessive tax regimes mostly constrained API development and integration initiatives. However, other regulative institutions like the government digitalization agenda enabled API integration. Normative institutions, such as the growing use of e-payment options, enabled API integration in digital music platforms. Cultural-cognitive institutions like employee ego constrained the API integration process in music digital platforms.Originality/valueThis study primarily contributes to deepening understanding of the relevant literature by exploring the institutional forces that affect API integration among digital firms in a developing economy. The study also uncovered a new form of an institution known as motivational institution as an enabler for API development and integration in digital music platforms.
目的数字平台通过利用第三方开发商提供的边界资源和补充附加产品，与外部实体和生产商进行交互，从而扩大其功能和范围。应用程序编程接口（API）是开发人员用来连接应用程序、系统和平台的重要边界资源。尽管如此，以往的应用程序接口研究往往更关注技术层面，而对支撑应用程序接口创新的社会和文化背景却知之甚少。本研究以新（新）制度理论（侧重于监管、规范和文化-认知支柱）为分析视角，了解影响数字公司 API 整合的制度力量。研究采用定性案例研究方法，通过对加纳数字音乐平台的电话访问和半结构化深度访谈，揭示影响 API 整合的制度力量。然而，政府的数字化议程等其他监管性制度促进了 API 的整合。规范性制度，如电子支付选项的使用日益增多，促进了数字音乐平台的 API 整合。本研究通过探讨影响发展中经济体数字企业 API 整合的制度力量，加深了对相关文献的理解。研究还发现了一种新的制度形式，即激励制度，它是数字音乐平台 API 开发和整合的推动力。
{"title":"An institutional perspective on application programming interface development and integration","authors":"Joshua Ofoeda, R. Boateng, J. Effah","doi":"10.1108/itp-11-2022-0826","DOIUrl":"https://doi.org/10.1108/itp-11-2022-0826","url":null,"abstract":"PurposeDigital platforms increase their function and scope by leveraging boundary resources and complementary add-on products from third-party developers to interact with external entities and producers. Application Programming Interfaces (APIs) are essential boundary resources developers use to connect applications, systems and platforms. This notwithstanding, previous API studies tend to focus more on the technical dimensions, with little on the social and cultural contexts underpinning API innovations. This study relies on the new (neo) institutional theory (focusing on regulative, normative and cultural-cognitive pillars) as an analytical lens to understand the institutional forces that affect API integration among digital firms.Design/methodology/approachThe study adopts a qualitative case study methodology and relies on phone calls and a semi-structured in-depth interview approach of a Ghanaian digital music platform to uncover the institutional forces affecting API integration.FindingsThe findings reveal that regulative institutions such as excessive tax regimes mostly constrained API development and integration initiatives. However, other regulative institutions like the government digitalization agenda enabled API integration. Normative institutions, such as the growing use of e-payment options, enabled API integration in digital music platforms. Cultural-cognitive institutions like employee ego constrained the API integration process in music digital platforms.Originality/valueThis study primarily contributes to deepening understanding of the relevant literature by exploring the institutional forces that affect API integration among digital firms in a developing economy. The study also uncovered a new form of an institution known as motivational institution as an enabler for API development and integration in digital music platforms.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960219","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 : 2023-12-18DOI: 10.1108/itp-09-2022-0726
Kai Wang, Chi-Feng Tai, Han-fen Hu
PurposeFocusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.Design/methodology/approachThis study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.FindingsThrough the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.Originality/valueThis research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.
{"title":"Social influence processes within MMORPG guilds: a mixed-methods approach of nomological network analysis","authors":"Kai Wang, Chi-Feng Tai, Han-fen Hu","doi":"10.1108/itp-09-2022-0726","DOIUrl":"https://doi.org/10.1108/itp-09-2022-0726","url":null,"abstract":"PurposeFocusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.Design/methodology/approachThis study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.FindingsThrough the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.Originality/valueThis research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995275","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 : 2023-12-13DOI: 10.1108/itp-02-2023-0189
Hung-Yue Suen, Kuo-En Hung
PurposeAsynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.Design/methodology/approachThe authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.FindingsThe results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.Originality/valueThe study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.
目的 作为一种就业前筛选方法，结合人工智能（AI）辅助评估的异步视频面试（AVI）已变得十分流行。在这些面试中，求职者在多大程度上会做出欺骗性的印象管理（IM）行为仍不确定。此外，人工检测识别此类欺骗性印象管理行为的准确性也很有限。本研究旨在探讨不同视频面试模式（AVI 与同步视频面试 (SVI)）和使用人工智能辅助评估（人工智能与非人工智能）的申请人在欺骗性 IM 行为方面的差异。本研究还调查了视频面试模式是否会影响人类面试官发现欺骗性即时通讯行为的能力。作者根据两个关键因素：视频面试的同步性（AVI vs SVI）和人工智能辅助评估的存在（人工智能 vs 非人工智能），进行了四种条件的实地研究：非人工智能辅助的 AVI、人工智能辅助的 AVI、非人工智能辅助的 SVI 和人工智能辅助的 SVI。研究涉及 144 对面试者和面试官/评估员。研究结果表明，与 SVI 相比，AVI 在所有维度上引起的欺骗性即时通讯行为较少。此外，在两种视频访谈模式中使用人工智能辅助评估，与非人工智能环境相比，图像创建的范围更小。然而，研究表明，无论使用哪种模式，人类面试官都难以发现欺骗性即时通讯行为，只有在 AVIs 中的大量伪造行为除外。原创性/价值这项研究首次回应了研究视频面试模式和人工智能对被面试者伪造行为和面试官准确性的影响的呼吁。这项研究加深了作者对在就业前筛选过程中使用不同视频面试模式和人工智能算法的实际影响的理解。本研究根据媒体丰富性理论完善了就业面试中造假可能性的理论模型，并在 AVI 和人工智能辅助评估的背景下完善了基于期望理论的自愿评级行为模型，从而为现有文献做出了贡献。
{"title":"Comparing job applicant deception in asynchronous vs synchronous video interviews, with and without AI-assisted assessments","authors":"Hung-Yue Suen, Kuo-En Hung","doi":"10.1108/itp-02-2023-0189","DOIUrl":"https://doi.org/10.1108/itp-02-2023-0189","url":null,"abstract":"PurposeAsynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.Design/methodology/approachThe authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.FindingsThe results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.Originality/valueThe study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139006252","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 : 2023-12-11DOI: 10.1108/itp-01-2023-0052
A. Masood, A. Salameh, Ashraf Khalil, Qingyu Zhang, Armando Papa
PurposeThis study investigates the integration of information technology (IT) competencies with organizational inclusion initiatives and its impact on firm performance. It examines the role of organizational inclusion in promoting knowledge management capability (KMC) and the moderating effect of approach and avoidance motivation on the relationship between KMC and operational performance.Design/methodology/approachThe study is grounded in the resource orchestration theory (ROT), which conceptualizes the integration of IT competencies and organizational inclusion. It employs hierarchical regression analysis on data collected from 204 firms and 374 managerial respondents to test the proposed hypotheses.FindingsThe results indicate that IT competencies enhance the relationship between organizational inclusion and KMC. Additionally, the relationship between KMC and operational performance is weaker when employees exhibit higher levels of avoidance motivation.Practical implicationsThis study offers theoretical and managerial insights for integrating IT competencies into organizational inclusion initiatives, providing guidance for organizations seeking to enhance their performance, with a specific focus on the relevance of China as the research context.Originality/valueThis study enriches the scholarly discourse by examining the underexplored integration of IT competencies with organizational inclusion, notably in the context of China. It illuminates the moderating role of motivation in the KMC-operational performance relationship, benefiting both academia and practitioners. Furthermore, this work extends the literature by demonstrating how combining organizational inclusion and IT competencies can enhance workplace KMC, connecting it to internal knowledge resources. Theoretical implications extend beyond organizational inclusion and IT to show the broader application potential of ROT in management and information systems.
{"title":"Synergizing organizational inclusion and IT competencies through resource orchestration: a longitudinal exploration","authors":"A. Masood, A. Salameh, Ashraf Khalil, Qingyu Zhang, Armando Papa","doi":"10.1108/itp-01-2023-0052","DOIUrl":"https://doi.org/10.1108/itp-01-2023-0052","url":null,"abstract":"PurposeThis study investigates the integration of information technology (IT) competencies with organizational inclusion initiatives and its impact on firm performance. It examines the role of organizational inclusion in promoting knowledge management capability (KMC) and the moderating effect of approach and avoidance motivation on the relationship between KMC and operational performance.Design/methodology/approachThe study is grounded in the resource orchestration theory (ROT), which conceptualizes the integration of IT competencies and organizational inclusion. It employs hierarchical regression analysis on data collected from 204 firms and 374 managerial respondents to test the proposed hypotheses.FindingsThe results indicate that IT competencies enhance the relationship between organizational inclusion and KMC. Additionally, the relationship between KMC and operational performance is weaker when employees exhibit higher levels of avoidance motivation.Practical implicationsThis study offers theoretical and managerial insights for integrating IT competencies into organizational inclusion initiatives, providing guidance for organizations seeking to enhance their performance, with a specific focus on the relevance of China as the research context.Originality/valueThis study enriches the scholarly discourse by examining the underexplored integration of IT competencies with organizational inclusion, notably in the context of China. It illuminates the moderating role of motivation in the KMC-operational performance relationship, benefiting both academia and practitioners. Furthermore, this work extends the literature by demonstrating how combining organizational inclusion and IT competencies can enhance workplace KMC, connecting it to internal knowledge resources. Theoretical implications extend beyond organizational inclusion and IT to show the broader application potential of ROT in management and information systems.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138584455","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 : 2023-12-08DOI: 10.1108/itp-10-2021-0764
Qian Chen, Changqin Yin, Yeming Gong
PurposeThis study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.Design/methodology/approachDrawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.FindingsThe results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.Originality/valueThis study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.Research highlightsThe study investigates customers' adoption of AI chatbots' recommendation.The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.The central and peripheral cues are generalized according to cooperative principle theory.Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.Central and peripheral cues affect customers' adoption to recommendation through trust in AI.Customers' mind perception positively moderates the central and peripheral paths.
{"title":"Would an AI chatbot persuade you: an empirical answer from the elaboration likelihood model","authors":"Qian Chen, Changqin Yin, Yeming Gong","doi":"10.1108/itp-10-2021-0764","DOIUrl":"https://doi.org/10.1108/itp-10-2021-0764","url":null,"abstract":"PurposeThis study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.Design/methodology/approachDrawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.FindingsThe results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.Originality/valueThis study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.Research highlightsThe study investigates customers' adoption of AI chatbots' recommendation.The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.The central and peripheral cues are generalized according to cooperative principle theory.Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.Central and peripheral cues affect customers' adoption to recommendation through trust in AI.Customers' mind perception positively moderates the central and peripheral paths.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138589478","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 : 2023-12-06DOI: 10.1108/itp-12-2022-0942
Labeeba Kothur, Vidushi Pandey
PurposeThis paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.Design/methodology/approachThe authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.FindingsThe findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.Research limitations/implicationsThe paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.Originality/valueThis study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.
{"title":"Role of social media news consumption in cultivating opinion polarization","authors":"Labeeba Kothur, Vidushi Pandey","doi":"10.1108/itp-12-2022-0942","DOIUrl":"https://doi.org/10.1108/itp-12-2022-0942","url":null,"abstract":"PurposeThis paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.Design/methodology/approachThe authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.FindingsThe findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.Research limitations/implicationsThe paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.Originality/valueThis study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138596389","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 : 2023-12-05DOI: 10.1108/itp-03-2023-0246
Shixuan Fu, Jianhua (Jordan) Yu, Huimin Gu, Xiaoxiao Song
PurposeShifting to OLSL classes during the pandemic can bring learners ambivalent experiences: negative, positive or both appraisals toward the technologies. However, few studies have examined how ambivalent experiences can influence students' learning behaviors, specifically cyberslacking and active participation. Using the challenge-hindrance stressor framework, this study investigates the impact of challenge and hindrance appraisals on these learning behaviors.Design/methodology/approachThis study uses a mixed methods approach to answer research questions. An interview was conducted to identify the key components of ambivalent appraisals, and a survey was conducted to empirically examine the impact of challenge and hindrance appraisals on learners' behaviors in online live streaming learning (OLSL) contexts. The data of 675 university students were analyzed using structural equation modeling.FindingsThis study found that hindrance appraisal leads to cyberslacking while challenge appraisal leads to active participation, but it can also cause cyberslacking. Social presence has a double-edged effect, acting as both a facilitator and inhibitor, strengthening the effect of hindrance appraisal on cyberslacking and the impact of challenge appraisal on active participation.Originality/valuePrior studies have primarily focused on the negative side (techno-distress) of technology appraisals. This study simultaneously examines the positive side, techno-eustress, on learners' behaviors in OLSL contexts, and explores the moderating effects of social presence. This study contributes to the technostress and technology adaptation literature by revealing how technology-induced ambivalent appraisals impact behavioral responses. It offers important theoretical and practical implications for education tool designers.
{"title":"Unpacking dual effects of ambivalence toward technologies in online live streaming learning","authors":"Shixuan Fu, Jianhua (Jordan) Yu, Huimin Gu, Xiaoxiao Song","doi":"10.1108/itp-03-2023-0246","DOIUrl":"https://doi.org/10.1108/itp-03-2023-0246","url":null,"abstract":"PurposeShifting to OLSL classes during the pandemic can bring learners ambivalent experiences: negative, positive or both appraisals toward the technologies. However, few studies have examined how ambivalent experiences can influence students' learning behaviors, specifically cyberslacking and active participation. Using the challenge-hindrance stressor framework, this study investigates the impact of challenge and hindrance appraisals on these learning behaviors.Design/methodology/approachThis study uses a mixed methods approach to answer research questions. An interview was conducted to identify the key components of ambivalent appraisals, and a survey was conducted to empirically examine the impact of challenge and hindrance appraisals on learners' behaviors in online live streaming learning (OLSL) contexts. The data of 675 university students were analyzed using structural equation modeling.FindingsThis study found that hindrance appraisal leads to cyberslacking while challenge appraisal leads to active participation, but it can also cause cyberslacking. Social presence has a double-edged effect, acting as both a facilitator and inhibitor, strengthening the effect of hindrance appraisal on cyberslacking and the impact of challenge appraisal on active participation.Originality/valuePrior studies have primarily focused on the negative side (techno-distress) of technology appraisals. This study simultaneously examines the positive side, techno-eustress, on learners' behaviors in OLSL contexts, and explores the moderating effects of social presence. This study contributes to the technostress and technology adaptation literature by revealing how technology-induced ambivalent appraisals impact behavioral responses. It offers important theoretical and practical implications for education tool designers.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600359","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 : 2023-12-05DOI: 10.1108/itp-10-2022-0790
Sann Ryu
PurposeThe purpose of the current research is to present an explanatory framework for how people selectively attend to privacy-related news information about LBA depending on the extent to which they know about LBA already as well as their appraisals of privacy threats and efficacy.Design/methodology/approachThe proposed model was tested using structural equation modeling based on a total of 522 useable responses obtained from an online survey.FindingsThe results revealed two different approaches to information exposure: (1) people choose to seek out privacy-related news articles when their persuasion knowledge and perceived threat level are high, whereas (2) they tend to avoid such information when perceived threats accompany fear as well as psychological discomfort, or when they believe that they are knowledgeable about LBA practices and highly capable of protecting their privacy.Originality/valueWith the development of real-time location-tracking technologies, the practice of LBA is becoming increasingly popular. As such, however, concerns about data collection and privacy are also on the rise, garnering a great deal of media attention. Despite the importance and constant stream of news reports on the subject, a comprehensive understanding of consumers' privacy assessments and information consumption remains underexamined. By incorporating the persuasion knowledge model and extended parallel process model, the current research presents an explanatory framework for consumers' privacy perceptions and information choice.
{"title":"A framework for consumers' assessments of location-based advertising (LBA) and selective exposure to privacy-related online information","authors":"Sann Ryu","doi":"10.1108/itp-10-2022-0790","DOIUrl":"https://doi.org/10.1108/itp-10-2022-0790","url":null,"abstract":"PurposeThe purpose of the current research is to present an explanatory framework for how people selectively attend to privacy-related news information about LBA depending on the extent to which they know about LBA already as well as their appraisals of privacy threats and efficacy.Design/methodology/approachThe proposed model was tested using structural equation modeling based on a total of 522 useable responses obtained from an online survey.FindingsThe results revealed two different approaches to information exposure: (1) people choose to seek out privacy-related news articles when their persuasion knowledge and perceived threat level are high, whereas (2) they tend to avoid such information when perceived threats accompany fear as well as psychological discomfort, or when they believe that they are knowledgeable about LBA practices and highly capable of protecting their privacy.Originality/valueWith the development of real-time location-tracking technologies, the practice of LBA is becoming increasingly popular. As such, however, concerns about data collection and privacy are also on the rise, garnering a great deal of media attention. Despite the importance and constant stream of news reports on the subject, a comprehensive understanding of consumers' privacy assessments and information consumption remains underexamined. By incorporating the persuasion knowledge model and extended parallel process model, the current research presents an explanatory framework for consumers' privacy perceptions and information choice.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138599936","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 : 2023-12-04DOI: 10.1108/itp-08-2022-0639
Qin Yuan, Jun Kong, Chun Liu, Yushi Jiang
PurposeWhile the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.Design/methodology/approachThis study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.FindingsIn general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.Originality/valueFirst, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.
{"title":"Understanding the effects of specific techno-stressors on strain and job performance: a meta-analysis of the empirical evidence","authors":"Qin Yuan, Jun Kong, Chun Liu, Yushi Jiang","doi":"10.1108/itp-08-2022-0639","DOIUrl":"https://doi.org/10.1108/itp-08-2022-0639","url":null,"abstract":"PurposeWhile the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.Design/methodology/approachThis study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.FindingsIn general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.Originality/valueFirst, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.","PeriodicalId":168000,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138604083","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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