Gorkem Turgut Ozer, Brad N. Greenwood, Anandasivam Gopal
Practice and Policy-Based AbstractExternalities stemming from digital platforms have had a profound impact on the daily lives of people across the globe. In this work, we examine one such externality that contributes to urban quality of life, the noise stemming from home-sharing platforms, which has been subject to aggressive scrutiny by policymakers and the popular press but has received limited rigorous empirical attention. Against a backdrop of significant investment by municipalities to curb extant levels of urban noise, our findings suggest that these platforms are instead correlated with a decrease in noise complaints in New York City (notably when occupancy rates are lower or the residence is located near tourist attractions). These findings suggest that investments in abating the noise stemming from such short-term rentals are less necessary than indicated by anecdotal evidence and are better directed at other forms of urban noise sources, chiefly because such rental units are frequently unoccupied and therefore remain quieter than residential units. However, these findings also underscore the extent to which home-sharing networks may be further straining the already stressed housing market in large metropolitan areas like New York City.
{"title":"Noisebnb: An Empirical Analysis of Home-Sharing Platforms and Residential Noise Complaints","authors":"Gorkem Turgut Ozer, Brad N. Greenwood, Anandasivam Gopal","doi":"10.1287/isre.2022.0070","DOIUrl":"https://doi.org/10.1287/isre.2022.0070","url":null,"abstract":"Practice and Policy-Based AbstractExternalities stemming from digital platforms have had a profound impact on the daily lives of people across the globe. In this work, we examine one such externality that contributes to urban quality of life, the noise stemming from home-sharing platforms, which has been subject to aggressive scrutiny by policymakers and the popular press but has received limited rigorous empirical attention. Against a backdrop of significant investment by municipalities to curb extant levels of urban noise, our findings suggest that these platforms are instead correlated with a decrease in noise complaints in New York City (notably when occupancy rates are lower or the residence is located near tourist attractions). These findings suggest that investments in abating the noise stemming from such short-term rentals are less necessary than indicated by anecdotal evidence and are better directed at other forms of urban noise sources, chiefly because such rental units are frequently unoccupied and therefore remain quieter than residential units. However, these findings also underscore the extent to which home-sharing networks may be further straining the already stressed housing market in large metropolitan areas like New York City.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139464123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Malte Greulich, Sebastian Lins, Daniel Pienta, Jason Bennett Thatcher, Ali Sunyaev
Encouraging employees to take security precautions is a vital strategy that organizations can use to reduce their vulnerability to information security (ISec) threats. This study investigates how the bright- and dark-side effects of trust in organizational information security impact employees’ intention to take security precautions. Employees who trust organizational security practices are more committed to protecting the organization and are more willing to take security precautions. To foster trust in organizational security practices and security commitment, ISec managers should establish a trusting security climate to ensure that employees can speak freely about the security problems they face in their work and receive support to resolve those problems if needed. This study also alerts managers to the potential adverse consequences of employees’ trust in the organization’s protective structures. We find that employees’ trust in the organization’s protective structures can backfire, making employees complacent regarding security. Further analyses indicate that security mindfulness mediates the influence of security complacency and security commitment on precaution taking. This study contributes by exploring and verifying the bright- and dark-side effects of trust in organizational ISec.
{"title":"Exploring Contrasting Effects of Trust in Organizational Security Practices and Protective Structures on Employees’ Security-Related Precaution Taking","authors":"Malte Greulich, Sebastian Lins, Daniel Pienta, Jason Bennett Thatcher, Ali Sunyaev","doi":"10.1287/isre.2021.0528","DOIUrl":"https://doi.org/10.1287/isre.2021.0528","url":null,"abstract":"Encouraging employees to take security precautions is a vital strategy that organizations can use to reduce their vulnerability to information security (ISec) threats. This study investigates how the bright- and dark-side effects of trust in organizational information security impact employees’ intention to take security precautions. Employees who trust organizational security practices are more committed to protecting the organization and are more willing to take security precautions. To foster trust in organizational security practices and security commitment, ISec managers should establish a trusting security climate to ensure that employees can speak freely about the security problems they face in their work and receive support to resolve those problems if needed. This study also alerts managers to the potential adverse consequences of employees’ trust in the organization’s protective structures. We find that employees’ trust in the organization’s protective structures can backfire, making employees complacent regarding security. Further analyses indicate that security mindfulness mediates the influence of security complacency and security commitment on precaution taking. This study contributes by exploring and verifying the bright- and dark-side effects of trust in organizational ISec.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139408588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Our study is inspired by the rapid growth of consumer-to-consumer (C2C) media platforms such as TikTok. There are three key findings. First, we show that when content pieces on the platform are longer, viewers set a higher standard of match value in selecting content to view, leading to a lower click-through rate of contributed content on the platform. This finding suggests that a tight limit on content length increases click-through rate. Second, we show that extended content length on the platform first enhances platform performance but then hurts its performance, following an inverted U-shape curve. This pattern holds true for short-term performance measured by viewer traffic and total viewing time, as well as for long-term performance measured by total consumer surplus. This finding suggests the existence of an optimal content length. Third, we find that the optimal content length maximizing viewer traffic is smaller than the one maximizing total viewing time, which is further smaller than the one maximizing consumer surplus. As such, a platform that switches the strategic focus from short-term advertising revenue to long-term growth will benefit from extending the content length limit.
我们的研究受到 TikTok 等消费者对消费者（C2C）媒体平台快速发展的启发。研究有三个主要发现。首先，我们发现当平台上的内容较长时，观众在选择观看内容时会设定较高的匹配价值标准，从而导致平台上投稿内容的点击率降低。这一发现表明，严格限制内容长度会提高点击率。其次，我们的研究表明，延长平台上的内容长度首先会提高平台的性能，但随后又会降低其性能，呈现出倒 U 型曲线。无论是以观众流量和总观看时间衡量的短期绩效，还是以消费者总剩余衡量的长期绩效，这一模式都是正确的。这一发现表明，存在一个最佳内容长度。第三，我们发现观众流量最大化的最佳内容长度小于总观看时间最大化的最佳内容长度，而总观看时间最大化的最佳内容长度又小于消费者剩余最大化的最佳内容长度。因此，将战略重点从短期广告收入转向长期增长的平台将从延长内容长度限制中获益。
{"title":"Content Length Limit: How Does It Matter for a Consumer-to-Consumer Media Platform?","authors":"Zheyin (Jane) Gu, Xuying Zhao","doi":"10.1287/isre.2022.0595","DOIUrl":"https://doi.org/10.1287/isre.2022.0595","url":null,"abstract":"Our study is inspired by the rapid growth of consumer-to-consumer (C2C) media platforms such as TikTok. There are three key findings. First, we show that when content pieces on the platform are longer, viewers set a higher standard of match value in selecting content to view, leading to a lower click-through rate of contributed content on the platform. This finding suggests that a tight limit on content length increases click-through rate. Second, we show that extended content length on the platform first enhances platform performance but then hurts its performance, following an inverted U-shape curve. This pattern holds true for short-term performance measured by viewer traffic and total viewing time, as well as for long-term performance measured by total consumer surplus. This finding suggests the existence of an optimal content length. Third, we find that the optimal content length maximizing viewer traffic is smaller than the one maximizing total viewing time, which is further smaller than the one maximizing consumer surplus. As such, a platform that switches the strategic focus from short-term advertising revenue to long-term growth will benefit from extending the content length limit.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139374698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Information technologies have been developed and used by government agencies and public authorities to address societal issues, but their effectiveness often hinges on public support and participation. This is evidenced in the use of digital contact tracing (DCT) technology to contain the spread of the coronavirus. Despite the efforts of public authorities and technology firms to develop and promote DCT, its adoption in the United States had been low and uneven. This research resolves the puzzle by showing that the public’s mixed views on DCT are caused by their cultural worldviews, which represent their values and attitudes toward collective responsibility in addressing personal needs as well as social hierarchies and established norms in regulating behaviors. These worldviews influence not only their perceptions of the risks and benefits of the technology but also how they interpret information about the technology. Being more aware of the technology may contribute to, rather than correct, the biases resulting from individuals’ prominent cultural worldviews. This research has practical implications for policymakers and technology developers, highlighting the importance of considering cultural worldviews in communication strategies and technology design. It offers a unique perspective on the interplay between worldviews, technology, and public perception, providing valuable insights for navigating the complex landscape of emerging technologies addressing diverse societal issues.
{"title":"Digital Contact Tracing for Pandemic Response: The Roles of Cultural Worldviews and Technology Awareness","authors":"Jingguo Wang, Yuan Li","doi":"10.1287/isre.2021.0253","DOIUrl":"https://doi.org/10.1287/isre.2021.0253","url":null,"abstract":"Information technologies have been developed and used by government agencies and public authorities to address societal issues, but their effectiveness often hinges on public support and participation. This is evidenced in the use of digital contact tracing (DCT) technology to contain the spread of the coronavirus. Despite the efforts of public authorities and technology firms to develop and promote DCT, its adoption in the United States had been low and uneven. This research resolves the puzzle by showing that the public’s mixed views on DCT are caused by their cultural worldviews, which represent their values and attitudes toward collective responsibility in addressing personal needs as well as social hierarchies and established norms in regulating behaviors. These worldviews influence not only their perceptions of the risks and benefits of the technology but also how they interpret information about the technology. Being more aware of the technology may contribute to, rather than correct, the biases resulting from individuals’ prominent cultural worldviews. This research has practical implications for policymakers and technology developers, highlighting the importance of considering cultural worldviews in communication strategies and technology design. It offers a unique perspective on the interplay between worldviews, technology, and public perception, providing valuable insights for navigating the complex landscape of emerging technologies addressing diverse societal issues.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Managerial responses to negative reviews could be easily understood as a brand-safeguarding strategy by firms because negative reviews can damage a company’s reputation. However, it is unclear if managers should respond to positive reviews and if so, if such action helps or hurts the firm. We develop a theoretical framework to explicate the mechanisms underlying the effects of managerial responses to positive reviews on user reviewing behaviors in online platforms. We classify positive reviews into four types: one-sided affective reviews, two-sided affective reviews, one-sided instrumental reviews, and two-sided instrumental reviews. We classify managerial responses as tailored and template responses. Using natural language processing and deep learning algorithms, we extract information presented in the texts in the reviews and responses. We theorize and test which kinds of managerial responses to positive reviews are helpful and which of them are harmful. Overall, we find that a tailored response is more appropriate when responding to two-sided instrumental positive reviews and one-sided affective positive reviews, whereas template responses work for one-sided instrumental positive reviews and two-sided affective positive reviews. Not responding would be an effective strategy for mixed positive reviews.
{"title":"Managerial Response to Online Positive Reviews: Helpful or Harmful?","authors":"Chaoqun Deng, T. Ravichandran","doi":"10.1287/isre.2019.0175","DOIUrl":"https://doi.org/10.1287/isre.2019.0175","url":null,"abstract":"Managerial responses to negative reviews could be easily understood as a brand-safeguarding strategy by firms because negative reviews can damage a company’s reputation. However, it is unclear if managers should respond to positive reviews and if so, if such action helps or hurts the firm. We develop a theoretical framework to explicate the mechanisms underlying the effects of managerial responses to positive reviews on user reviewing behaviors in online platforms. We classify positive reviews into four types: one-sided affective reviews, two-sided affective reviews, one-sided instrumental reviews, and two-sided instrumental reviews. We classify managerial responses as tailored and template responses. Using natural language processing and deep learning algorithms, we extract information presented in the texts in the reviews and responses. We theorize and test which kinds of managerial responses to positive reviews are helpful and which of them are harmful. Overall, we find that a tailored response is more appropriate when responding to two-sided instrumental positive reviews and one-sided affective positive reviews, whereas template responses work for one-sided instrumental positive reviews and two-sided affective positive reviews. Not responding would be an effective strategy for mixed positive reviews.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138823971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shih-Lun “Allen” Tseng, Heshan Sun, Radhika Santhanam, Shuya Lu, Jason B. Thatcher
Current studies show gamification, the integrating of game design elements into target systems, enhances user engagement and instrumental task outcomes. Despite its potential for improving behavioral outcomes, gamification can also lead to maladaptive behaviors, behaviors directed at misappropriating gamified systems. We conceptualized gamified system maladaptive behaviors (GSMB), which involve technology and gamified task maladaptations. We developed a model that depicts three drivers of GSMB from design elements, how they fulfill or frustrate psychological innate needs, which in turn drive GSMB, and how GSMB affect task performance. We tested how the three drivers of design elements affect GSMB in Study 1 by empirically examining users of a gamified system, Pocket Points. The results support our conceptualization of GSMB, and design issues as its antecedents. To further unpack this relationship, we then employed a within-subject experiment and a follow-up survey in Study 2. By manipulating the design issues, we found that GSMB adversely affect task performance, because these users may focus too intently on winning the game, at the expense of task performance. By assessing the fulfillment of psychological needs, our findings suggest that design in gamified systems may not uniformly fulfill the satisfaction of psychological needs and consequently triggers GSMB.
{"title":"Rethinking Gamification Failure: A Model and Investigation of Gamified System Maladaptive Behaviors","authors":"Shih-Lun “Allen” Tseng, Heshan Sun, Radhika Santhanam, Shuya Lu, Jason B. Thatcher","doi":"10.1287/isre.2021.0284","DOIUrl":"https://doi.org/10.1287/isre.2021.0284","url":null,"abstract":"Current studies show gamification, the integrating of game design elements into target systems, enhances user engagement and instrumental task outcomes. Despite its potential for improving behavioral outcomes, gamification can also lead to maladaptive behaviors, behaviors directed at misappropriating gamified systems. We conceptualized gamified system maladaptive behaviors (GSMB), which involve technology and gamified task maladaptations. We developed a model that depicts three drivers of GSMB from design elements, how they fulfill or frustrate psychological innate needs, which in turn drive GSMB, and how GSMB affect task performance. We tested how the three drivers of design elements affect GSMB in Study 1 by empirically examining users of a gamified system, Pocket Points. The results support our conceptualization of GSMB, and design issues as its antecedents. To further unpack this relationship, we then employed a within-subject experiment and a follow-up survey in Study 2. By manipulating the design issues, we found that GSMB adversely affect task performance, because these users may focus too intently on winning the game, at the expense of task performance. By assessing the fulfillment of psychological needs, our findings suggest that design in gamified systems may not uniformly fulfill the satisfaction of psychological needs and consequently triggers GSMB.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138820019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emotion artificial intelligence (AI) is shown to vary systematically in its ability to accurately identify emotions, and this variation creates potential biases. In this paper, we conduct an experiment involving three commercially available emotion AI systems and a group of human labelers tasked with identifying emotions from two image data sets. The study focuses on the alignment between facial expressions and the emotion labels assigned by both the AI and humans. Importantly, human labelers are given the AI’s scores and informed about its algorithmic fairness measures. This paper presents several key findings. First, the labelers’ scores are affected by the emotion AI scores, consistent with the anchoring effect. Second, information transparency about the AI’s fairness does not uniformly affect human labeling across different emotions. Moreover, information transparency can even increase human inconsistencies. Plus, significant inconsistencies in the scoring among different emotion AI models cast doubt on their reliability. Overall, the study highlights the limitations of individual decision making and information transparency regarding algorithmic fairness measures in addressing algorithmic fairness. These findings underscore the complexity of integrating emotion AI into practice and emphasize the need for careful policies on emotion AI.
{"title":"The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence","authors":"Lauren Rhue","doi":"10.1287/isre.2019.0493","DOIUrl":"https://doi.org/10.1287/isre.2019.0493","url":null,"abstract":"Emotion artificial intelligence (AI) is shown to vary systematically in its ability to accurately identify emotions, and this variation creates potential biases. In this paper, we conduct an experiment involving three commercially available emotion AI systems and a group of human labelers tasked with identifying emotions from two image data sets. The study focuses on the alignment between facial expressions and the emotion labels assigned by both the AI and humans. Importantly, human labelers are given the AI’s scores and informed about its algorithmic fairness measures. This paper presents several key findings. First, the labelers’ scores are affected by the emotion AI scores, consistent with the anchoring effect. Second, information transparency about the AI’s fairness does not uniformly affect human labeling across different emotions. Moreover, information transparency can even increase human inconsistencies. Plus, significant inconsistencies in the scoring among different emotion AI models cast doubt on their reliability. Overall, the study highlights the limitations of individual decision making and information transparency regarding algorithmic fairness measures in addressing algorithmic fairness. These findings underscore the complexity of integrating emotion AI into practice and emphasize the need for careful policies on emotion AI.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138820518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the role of telework adjustment in addressing gender inequality in the labor market induced by disasters, taking the COVID-19 disaster as an example. Disasters often disrupt labor markets, disproportionately impacting female workers because of traditionally greater domestic responsibilities, thus increasing gender inequality. In such a case, telework adjustment has emerged as a silver lining, granting enhanced flexibility, particularly benefiting female workers and catering to their needs. Our analysis reveals that (1) comparing workers in the same industry and holding the same occupation, we find that female workers’ telework adjustment rate is more responsive to external constraints and is 7% higher than that of male workers. (2) Telework adjustment helps reduce gender inequality in labor market outcomes via two means: (i) the higher telework adjustment rate among female workers (which reduces gender inequality by 25.48%) and (ii) the stronger marginal effect of telework adjustment on female workers (which reduces gender inequality by 31.94%). (3) Better digital infrastructure can enhance the mitigating effect of telework adjustment. Our findings offer compelling insights for policymakers and business leaders, emphasizing the strategic role of telework adjustment and digital infrastructure investments as crucial levers in promoting gender inequality during and beyond disaster scenarios.
{"title":"Can Telework Adjustment Help Reduce Disaster-Induced Gender Inequality in Job Market Outcomes?","authors":"Jingbo Hou, Chen Liang, Pei-Yu Chen, Bin Gu","doi":"10.1287/isre.2023.0241","DOIUrl":"https://doi.org/10.1287/isre.2023.0241","url":null,"abstract":"This study investigates the role of telework adjustment in addressing gender inequality in the labor market induced by disasters, taking the COVID-19 disaster as an example. Disasters often disrupt labor markets, disproportionately impacting female workers because of traditionally greater domestic responsibilities, thus increasing gender inequality. In such a case, telework adjustment has emerged as a silver lining, granting enhanced flexibility, particularly benefiting female workers and catering to their needs. Our analysis reveals that (1) comparing workers in the same industry and holding the same occupation, we find that female workers’ telework adjustment rate is more responsive to external constraints and is 7% higher than that of male workers. (2) Telework adjustment helps reduce gender inequality in labor market outcomes via two means: (i) the higher telework adjustment rate among female workers (which reduces gender inequality by 25.48%) and (ii) the stronger marginal effect of telework adjustment on female workers (which reduces gender inequality by 31.94%). (3) Better digital infrastructure can enhance the mitigating effect of telework adjustment. Our findings offer compelling insights for policymakers and business leaders, emphasizing the strategic role of telework adjustment and digital infrastructure investments as crucial levers in promoting gender inequality during and beyond disaster scenarios.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138573544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Online brand communities often use social plug-in features, such as the Like button, to facilitate social interactions and engage users with the brands. However, whether and how such a community feature affects users’ purchases remain open questions. Analysis of user behavior following the adoption of the Like feature indicates a surprising downturn in purchases, with a 4.1% decrease in orders and a 25.0% reduction in expenditure. Notably, online purchases dip by 3.4% in order numbers and 21.1% in expenditure, with a slighter offline decrease. The treatment effect of the adoption is not always negative but varies over time and across users. First, the Like feature adoption has a positive effect on users’ purchases in the first two months (primarily through enhancing their community participation), and the treatment effect turns negative in subsequent months, leading to the overall negative treatment effect on purchases. Second, the negative treatment effect likely stems from unflattering social comparison and can become weaker or even positive when users accrue more Likes. However, only a small proportion of users receive sufficient Likes to be motivated to purchase more. Our results caution against potential downsides of the Like feature in online communities and provide valuable managerial implications.
{"title":"Do “Likes” in a Brand Community Always Make You Buy More?","authors":"Chen Liang, Ji Wu, Xinxin Li","doi":"10.1287/isre.2022.0008","DOIUrl":"https://doi.org/10.1287/isre.2022.0008","url":null,"abstract":"Online brand communities often use social plug-in features, such as the Like button, to facilitate social interactions and engage users with the brands. However, whether and how such a community feature affects users’ purchases remain open questions. Analysis of user behavior following the adoption of the Like feature indicates a surprising downturn in purchases, with a 4.1% decrease in orders and a 25.0% reduction in expenditure. Notably, online purchases dip by 3.4% in order numbers and 21.1% in expenditure, with a slighter offline decrease. The treatment effect of the adoption is not always negative but varies over time and across users. First, the Like feature adoption has a positive effect on users’ purchases in the first two months (primarily through enhancing their community participation), and the treatment effect turns negative in subsequent months, leading to the overall negative treatment effect on purchases. Second, the negative treatment effect likely stems from unflattering social comparison and can become weaker or even positive when users accrue more Likes. However, only a small proportion of users receive sufficient Likes to be motivated to purchase more. Our results caution against potential downsides of the Like feature in online communities and provide valuable managerial implications.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138560270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elham Shafiei Gol, Michel Avital, Mari-Klara Stein
Organizations increasingly engage with external communities for value generation through an ever-growing multitude of digital services. Absorptive capacity, or the organizational capability to identify, assimilate, and apply new knowledge for commercial ends, is a key determinant of how organizations successfully generate value from external sources of knowledge and sustain a competitive advantage. Crowdworking—a novel form of digitally mediated work—allows organizations to hire on-demand highly skilled external experts to leverage their knowledge, skills, and networks. The approach of integrating crowdworking into organizations is increasingly gaining traction among large corporations seeking to harness the knowledge in external communities for value generation. Building on an in-depth embedded case study in a large organization that relies on two established crowdwork platforms, we explore and shed light on how the organization developed its crowdworking-related absorptive capacity to generate value from external experts. The paper offers new insights into the prevailing modus operandi related to harnessing external knowledge in today’s organizations.
{"title":"Crowdworking: Nurturing Expert-Centric Absorptive Capacity","authors":"Elham Shafiei Gol, Michel Avital, Mari-Klara Stein","doi":"10.1287/isre.2020.0413","DOIUrl":"https://doi.org/10.1287/isre.2020.0413","url":null,"abstract":"Organizations increasingly engage with external communities for value generation through an ever-growing multitude of digital services. Absorptive capacity, or the organizational capability to identify, assimilate, and apply new knowledge for commercial ends, is a key determinant of how organizations successfully generate value from external sources of knowledge and sustain a competitive advantage. Crowdworking—a novel form of digitally mediated work—allows organizations to hire on-demand highly skilled external experts to leverage their knowledge, skills, and networks. The approach of integrating crowdworking into organizations is increasingly gaining traction among large corporations seeking to harness the knowledge in external communities for value generation. Building on an in-depth embedded case study in a large organization that relies on two established crowdwork platforms, we explore and shed light on how the organization developed its crowdworking-related absorptive capacity to generate value from external experts. The paper offers new insights into the prevailing modus operandi related to harnessing external knowledge in today’s organizations.","PeriodicalId":48411,"journal":{"name":"Information Systems Research","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138508905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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