Pub Date : 2024-11-25DOI: 10.1016/j.ijhm.2024.104006
Poornima Madan , Shalini Srivastava , Ebtesam Abdullah Alzeiby , Dongmei Cao
The present research aims to outspread our understanding of how green organizational culture affects green innovative work behaviors via employee green values and green ambidexterity – an underexplored mechanism in hospitality organizations. We leveraged the social information processing theory and the supplies-values fit theory to test the hypothesis from the data obtained from 306 hotel employees in the USA through the Prolific Academic platform. The data was analyzed using PLS-SEM. The results revealed no significant association between green organizational culture and green innovative work behavior. Employee green values and green ambidexterity depicted significant mediating effects on the association between green organizational culture and green innovative work behavior. Our results imply a significant understanding of the development of theoretical knowledge and a real application of green organizational culture and green innovative work behavior.
{"title":"Proliferating green innovative work behavior through green organizational culture: Mediating role of green ambidexterity and values in the hospitality context","authors":"Poornima Madan , Shalini Srivastava , Ebtesam Abdullah Alzeiby , Dongmei Cao","doi":"10.1016/j.ijhm.2024.104006","DOIUrl":"10.1016/j.ijhm.2024.104006","url":null,"abstract":"<div><div>The present research aims to outspread our understanding of how green organizational culture affects green innovative work behaviors via employee green values and green ambidexterity – an underexplored mechanism in hospitality organizations. We leveraged the social information processing theory and the supplies-values fit theory to test the hypothesis from the data obtained from 306 hotel employees in the USA through the Prolific Academic platform. The data was analyzed using PLS-SEM. The results revealed no significant association between green organizational culture and green innovative work behavior. Employee green values and green ambidexterity depicted significant mediating effects on the association between green organizational culture and green innovative work behavior. Our results imply a significant understanding of the development of theoretical knowledge and a real application of green organizational culture and green innovative work behavior.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"125 ","pages":"Article 104006"},"PeriodicalIF":9.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Startups are agile entities capable of fostering innovation and swiftly navigating turbulent market conditions. Against the backdrop of global challenges, particularly environmental and social issues, startups have gained prominence as potential agents of positive change. Recognizing their value, stakeholders, including large corporations, universities, and governments, actively seek collaboration and support for startup growth. This network of actors, or entrepreneurial ecosystem, exerts different types of pressure on startups. In particular, although efficiency, speed, and reliability are emphasized for economic success, there is an increasing emphasis on environmental and social sustainability within entrepreneurial ecosystems. This study explores the dynamics of entrepreneurial ecosystems and their impact on startup performance, specifically focusing on the dual pressures exerted on startups. The study delves into the potential conflict or synergy between these pressures, aiming to answer the research question regarding the impact of entrepreneurial ecosystem pressures on both economic and environmental/social sustainability. Through a survey conducted among Italian startups, the research reveals that these pressures do not compromise either economic or sustainability objectives. The findings contribute to a nuanced understanding of entrepreneurship, highlighting the interconnectedness between entrepreneurial ecosystems and individual company performance. Moreover, the study advances the sustainability literature by demonstrating that sustainability-oriented ecosystems can coexist with economic growth objectives, offering valuable insights for entrepreneurs, universities, public administration, and large companies.
{"title":"Examining the influence of entrepreneurial ecosystem pressure on the economic, social, and environmental orientation of startups","authors":"Serena Filippelli , Ciro Troise , Barbara Bigliardi , Vincenzo Corvello","doi":"10.1016/j.techfore.2024.123900","DOIUrl":"10.1016/j.techfore.2024.123900","url":null,"abstract":"<div><div>Startups are agile entities capable of fostering innovation and swiftly navigating turbulent market conditions. Against the backdrop of global challenges, particularly environmental and social issues, startups have gained prominence as potential agents of positive change. Recognizing their value, stakeholders, including large corporations, universities, and governments, actively seek collaboration and support for startup growth. This network of actors, or entrepreneurial ecosystem, exerts different types of pressure on startups. In particular, although efficiency, speed, and reliability are emphasized for economic success, there is an increasing emphasis on environmental and social sustainability within entrepreneurial ecosystems. This study explores the dynamics of entrepreneurial ecosystems and their impact on startup performance, specifically focusing on the dual pressures exerted on startups. The study delves into the potential conflict or synergy between these pressures, aiming to answer the research question regarding the impact of entrepreneurial ecosystem pressures on both economic and environmental/social sustainability. Through a survey conducted among Italian startups, the research reveals that these pressures do not compromise either economic or sustainability objectives. The findings contribute to a nuanced understanding of entrepreneurship, highlighting the interconnectedness between entrepreneurial ecosystems and individual company performance. Moreover, the study advances the sustainability literature by demonstrating that sustainability-oriented ecosystems can coexist with economic growth objectives, offering valuable insights for entrepreneurs, universities, public administration, and large companies.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123900"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-25DOI: 10.1016/j.techfore.2024.123887
Nazrul Islam , Sandip Rakshit , Tripti Paul
The study offers a holistic framework for examining the use of social robots in SMEs and subsequently investigates both its drivers as well as implications. The research builds on the Technology-Organization-Environment (TOE) framework using a mixed-methodological approach of surveys, interviews and focus groups to investigate which factors drive small entrepreneurship in adopting social robots with their subsequent impact on business performance. The findings highlight the role of factors that mediate adoption decisions alongside technological compatibility and organizational readiness, which result in operational efficiencies, financial performance improvements and sustainable business practices. We interpret these findings to provide strategic advice for SME managers on the adoption of social robots, that illustrates planning and considering internal and external dynamics are critical with a view to successful integration. This study enriches the body of scholarly research by offering an insight into technology acceptation in SMEs with a specific focus on social robots, and therefore this research has theoretical & managerial contributions.
{"title":"Antecedents and consequences of social robots adoption for SMEs - Reimaging emerging technologies in the context of the new normal","authors":"Nazrul Islam , Sandip Rakshit , Tripti Paul","doi":"10.1016/j.techfore.2024.123887","DOIUrl":"10.1016/j.techfore.2024.123887","url":null,"abstract":"<div><div>The study offers a holistic framework for examining the use of social robots in SMEs and subsequently investigates both its drivers as well as implications. The research builds on the Technology-Organization-Environment (TOE) framework using a mixed-methodological approach of surveys, interviews and focus groups to investigate which factors drive small entrepreneurship in adopting social robots with their subsequent impact on business performance. The findings highlight the role of factors that mediate adoption decisions alongside technological compatibility and organizational readiness, which result in operational efficiencies, financial performance improvements and sustainable business practices. We interpret these findings to provide strategic advice for SME managers on the adoption of social robots, that illustrates planning and considering internal and external dynamics are critical with a view to successful integration. This study enriches the body of scholarly research by offering an insight into technology acceptation in SMEs with a specific focus on social robots, and therefore this research has theoretical & managerial contributions.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123887"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-25DOI: 10.1016/j.techfore.2024.123861
Salma El Atchi , Ahlam Azzamouri , Frédéric Gautier
This study presents an enhanced short-term scheduling model for supply chains, emphasizing sustainability through the integration of key utilities, which we define as steam, energy, and water. However, in the current phase of our research, we specifically concentrate on steam as a primary utility due to its critical role in the phosphate industry, particularly within the operations of the OCP Group, a leader in phosphate extraction and fertilizer production. By employing a simulation model that integrates steam, we aim to align daily operational decisions with broader sustainability objectives, establishing a foundation for the eventual inclusion of the other defined utilities. This study employs a comparative analysis of a traditional scheduling model and an innovative utility-based model. By simulating real-world operational scenarios, this research demonstrates how the utility-based model substantially improves resource utilization and reduces operational downtime compared with conventional practices. The findings reveal that integrating steam into scheduling not only supports the OCP Group's immediate operational goals but also aligns with broader sustainability objectives by minimizing resource waste and enhancing efficiency. These results underscore the critical role of utility management in supply chain scheduling and its potential to contribute to the industry's long-term sustainability efforts.
{"title":"Toward sustainable operations: Integrating utility management into short-term scheduling in the phosphate industry","authors":"Salma El Atchi , Ahlam Azzamouri , Frédéric Gautier","doi":"10.1016/j.techfore.2024.123861","DOIUrl":"10.1016/j.techfore.2024.123861","url":null,"abstract":"<div><div>This study presents an enhanced short-term scheduling model for supply chains, emphasizing sustainability through the integration of key utilities, which we define as steam, energy, and water. However, in the current phase of our research, we specifically concentrate on steam as a primary utility due to its critical role in the phosphate industry, particularly within the operations of the OCP Group, a leader in phosphate extraction and fertilizer production. By employing a simulation model that integrates steam, we aim to align daily operational decisions with broader sustainability objectives, establishing a foundation for the eventual inclusion of the other defined utilities. This study employs a comparative analysis of a traditional scheduling model and an innovative utility-based model. By simulating real-world operational scenarios, this research demonstrates how the utility-based model substantially improves resource utilization and reduces operational downtime compared with conventional practices. The findings reveal that integrating steam into scheduling not only supports the OCP Group's immediate operational goals but also aligns with broader sustainability objectives by minimizing resource waste and enhancing efficiency. These results underscore the critical role of utility management in supply chain scheduling and its potential to contribute to the industry's long-term sustainability efforts.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123861"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Regulatory authorities are putting a lot of pressure on manufacturers to devise strategies to boost their contribution to the circular economy. The limited comprehension surrounding the complex interplay that exists between the deployment of Industry 4.0 (I4.0) strategies, the capability to acquire information, and the ability to balance exploration and exploitation activities within an organization acts as a barrier for manufacturers to attain the optimal levels of organizational performance. As a result, the purpose of the current investigation is to investigate the strategic execution of I4.0 on manufacturers' information acquisition capability in order to foster the ambidexterity required to flourish in the innovation‐driven high‐performance ecosystem for attaining circular economy performance. In this study, data from a cross‐sectional survey that included responses from a sample of 238 Indian manufacturers were assessed using structural equation modeling. According to the results, I4.0 technologies assist organizations in strengthening their exploitative and explorative capabilities, allowing them to achieve success in innovation, which is directly related to their performance in circular economy activities. Unexpectedly, the association between an organization's information acquisition capability and its innovation performance is not substantial, but it is completely mediated by both exploitative and explorative capabilities, which are characterized as organizational ambidexterity.
{"title":"Examining the Effects of Industry 4.0 Adoption, Information Acquisition Capability, and Organizational Ambidexterity on Innovation and Circular Economy Performance","authors":"Saumyaranjan Sahoo, Ashwani Kumar, Sachin Kumar Mangla, Alessio Ishizaka","doi":"10.1002/bse.4067","DOIUrl":"https://doi.org/10.1002/bse.4067","url":null,"abstract":"Regulatory authorities are putting a lot of pressure on manufacturers to devise strategies to boost their contribution to the circular economy. The limited comprehension surrounding the complex interplay that exists between the deployment of Industry 4.0 (I4.0) strategies, the capability to acquire information, and the ability to balance exploration and exploitation activities within an organization acts as a barrier for manufacturers to attain the optimal levels of organizational performance. As a result, the purpose of the current investigation is to investigate the strategic execution of I4.0 on manufacturers' information acquisition capability in order to foster the ambidexterity required to flourish in the innovation‐driven high‐performance ecosystem for attaining circular economy performance. In this study, data from a cross‐sectional survey that included responses from a sample of 238 Indian manufacturers were assessed using structural equation modeling. According to the results, I4.0 technologies assist organizations in strengthening their exploitative and explorative capabilities, allowing them to achieve success in innovation, which is directly related to their performance in circular economy activities. Unexpectedly, the association between an organization's information acquisition capability and its innovation performance is not substantial, but it is completely mediated by both exploitative and explorative capabilities, which are characterized as organizational ambidexterity.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"66 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reforms that reduce spousal support after divorce are generally thought to reduce the bargaining power of alimony recipients as well as their incentives to participate in the traditional model of household specialization. Using the U.S. Time Use Survey and exploiting a series of recent reforms in several U.S. states that reduced the rights of eligible spouses, we find that wives surprised by the reforms reacted by increasing their labor supply, but the adjustment mechanism varied by educational group. While college educated wives' labor supply increased at the expense of time spent on housework and childcare, wives with less than a college degree sacrificed personal care and leisure time. Effects for men are generally smaller and not statistically significant. We also find a reduction in the rate of new births following the reforms, with the effect being much more pronounced in the case of women with a university education, suggesting that part of the difference in time use may be attributable to differences in preferences and the cost of children by educational levels. Since children are a marital public good, our results imply a decrease in marriage-specific investment. The estimated effects are robust to various sensitivity tests and are greater in couples with a high-income differential and therefore more exposed to changes in alimony laws.
人们普遍认为，减少离婚后配偶赡养费的改革会降低赡养费领取者的讨价还价能力以及她们参与传统家庭专业化模式的积极性。我们利用美国时间利用调查（U.S. Time Use Survey），并利用美国几个州最近进行的一系列改革（这些改革降低了符合条件的配偶的权利），发现对改革感到惊讶的妻子们的反应是增加她们的劳动力供给，但调整机制因教育群体而异。受过大学教育的妻子在增加劳动供给的同时牺牲了家务和育儿时间，而大学以下学历的妻子则牺牲了个人护理和休闲时间。对男性的影响一般较小，在统计上也不显著。我们还发现，改革后新生儿的出生率有所下降，这对受过大学教育的女性的影响更为明显，这表明时间使用上的部分差异可能归因于不同教育水平的偏好和子女成本的差异。由于子女是一种婚姻公共产品，我们的结果意味着婚姻特定投资的减少。估计的影响对各种敏感性测试都是稳健的，而且对高收入差异的夫妇影响更大，因此更容易受到赡养费法律变化的影响。
{"title":"The effect of alimony on married women's labor supply and fertility: Evidence from state-level reforms","authors":"Daniel Fernández-Kranz, Jennifer Roff","doi":"10.1002/pam.22661","DOIUrl":"https://doi.org/10.1002/pam.22661","url":null,"abstract":"Reforms that reduce spousal support after divorce are generally thought to reduce the bargaining power of alimony recipients as well as their incentives to participate in the traditional model of household specialization. Using the U.S. Time Use Survey and exploiting a series of recent reforms in several U.S. states that reduced the rights of eligible spouses, we find that wives surprised by the reforms reacted by increasing their labor supply, but the adjustment mechanism varied by educational group. While college educated wives' labor supply increased at the expense of time spent on housework and childcare, wives with less than a college degree sacrificed personal care and leisure time. Effects for men are generally smaller and not statistically significant. We also find a reduction in the rate of new births following the reforms, with the effect being much more pronounced in the case of women with a university education, suggesting that part of the difference in time use may be attributable to differences in preferences and the cost of children by educational levels. Since children are a marital public good, our results imply a decrease in marriage-specific investment. The estimated effects are robust to various sensitivity tests and are greater in couples with a high-income differential and therefore more exposed to changes in alimony laws.","PeriodicalId":48105,"journal":{"name":"Journal of Policy Analysis and Management","volume":"10 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696758","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}
Pub Date : 2024-11-25DOI: 10.1007/s11077-024-09555-4
James Farr, Nick Dorzweiler
In The Policy Sciences of Harold Lasswell, Douglas Torgerson offers a timely interpretation of Harold Lasswell as a progenitor of critical policy studies and champion of radical democracy. In this essay, we consider several concepts central to Torgerson’s interpretation of Lasswell, including “latent,” “manifest,” and “context,” in order to call attention to the hermeneutic labor required to produce any image of a “stable” Lasswell. We investigate two lesser-known aspects of Lasswell’s career – his teaching at the Chicago Workers School and his NBC radio program Human Nature in Action – to illustrate the degree to which Lasswell’s democratic commitments often blended liberal and elitist tendencies, in sometimes uneasy fashion. We ultimately suggest that despite (or perhaps because of) Lasswell’s irreducible complexities, if not inconsistencies, he remains uniquely relevant to understanding our current era in which propaganda and insecurity remain central concerns.
道格拉斯-托格森（Douglas Torgerson）在《哈罗德-拉斯韦尔的政策科学》（The Policy Sciences of Harold Lasswell）一书中对哈罗德-拉斯韦尔进行了及时的解读，将其视为批判性政策研究的鼻祖和激进民主的拥护者。在这篇文章中，我们考虑了托格森对拉斯韦尔诠释的几个核心概念，包括 "潜在"、"显现 "和 "语境"，以唤起人们对塑造 "稳定 "的拉斯韦尔形象所需的诠释工作的关注。我们研究了拉斯韦尔职业生涯中两个鲜为人知的方面--他在芝加哥工人学校的教学和他在美国全国广播公司（NBC）的广播节目《行动中的人性》（Human Nature in Action）--以说明拉斯韦尔的民主承诺常常以有时令人不安的方式融合了自由主义和精英主义的倾向。我们最终认为，尽管（或许正因为）拉斯韦尔具有不可复制的复杂性（如果不是前后矛盾的话），但他对于理解我们这个宣传和不安全仍然是核心问题的时代仍然具有独特的意义。
{"title":"On Torgerson’s Lasswells","authors":"James Farr, Nick Dorzweiler","doi":"10.1007/s11077-024-09555-4","DOIUrl":"https://doi.org/10.1007/s11077-024-09555-4","url":null,"abstract":"<p>In<i> The Policy Sciences of Harold Lasswell</i>, Douglas Torgerson offers a timely interpretation of Harold Lasswell as a progenitor of critical policy studies and champion of radical democracy. In this essay, we consider several concepts central to Torgerson’s interpretation of Lasswell, including “latent,” “manifest,” and “context,” in order to call attention to the hermeneutic labor required to produce any image of a “stable” Lasswell. We investigate two lesser-known aspects of Lasswell’s career – his teaching at the Chicago Workers School and his NBC radio program<i> Human Nature in Action</i> – to illustrate the degree to which Lasswell’s democratic commitments often blended liberal and elitist tendencies, in sometimes uneasy fashion. We ultimately suggest that despite (or perhaps because of) Lasswell’s irreducible complexities, if not inconsistencies, he remains uniquely relevant to understanding our current era in which propaganda and insecurity remain central concerns.</p>","PeriodicalId":51433,"journal":{"name":"Policy Sciences","volume":"68 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713074","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}
Pub Date : 2024-11-24DOI: 10.1016/j.jretconser.2024.104157
Wenhao Guo, Jin Tian, Minqiang Li
Sequential recommendations have been widely used in e-commerce platforms to effectively capture consumers' dynamic preferences and provide them with preferred products. Traditional models usually use ratings and product attributes for sequential recommendations to satisfy consumers’ more personalized needs. Consumers also rely on reviews from other consumers to form a general impression of the product or retailer before making their purchase decisions. Such impressions can be treated as reputations of the product or retailer. Inspired by cue diagnosticity theory, we divide the attributes related to product purchase into low- and high-scope cues. High-scope cues, including reputations, are not easily changed because they are formed over a long period by numerous consumers, whereas low-scope cues, such as price, can be easily changed by retailers. We propose an innovative Sequential Recommendation model by Integrating Low-scope cues and High-scope cues (SRILH). We design a cue-extraction layer to extract high-scope cues from consumer online reviews and a hierarchical cue-aware attention layer to learn the joint effect of low- and high-scope cues. We evaluate the performance of the proposed model using three real-world datasets, and our experimental results validate its effectiveness and robustness. Our research contributes to sequential recommendations research by uncovering the joint effects of cues on consumer behavior and by providing valuable insights into the dynamics of cue preference formation in recommendation systems. We also extend the empirical literature on cue diagnosticity theory by drawing conclusions from the micro and individual perspectives to shed light on how different cues impact consumer choices. The interpretable visualization results provide managerial insights for retailers and manufacturers to improve their products.
{"title":"Reputation vs. price: Sequential recommendations based on cue diagnosticity theory","authors":"Wenhao Guo, Jin Tian, Minqiang Li","doi":"10.1016/j.jretconser.2024.104157","DOIUrl":"10.1016/j.jretconser.2024.104157","url":null,"abstract":"<div><div>Sequential recommendations have been widely used in e-commerce platforms to effectively capture consumers' dynamic preferences and provide them with preferred products. Traditional models usually use ratings and product attributes for sequential recommendations to satisfy consumers’ more personalized needs. Consumers also rely on reviews from other consumers to form a general impression of the product or retailer before making their purchase decisions. Such impressions can be treated as reputations of the product or retailer. Inspired by cue diagnosticity theory, we divide the attributes related to product purchase into low- and high-scope cues. High-scope cues, including reputations, are not easily changed because they are formed over a long period by numerous consumers, whereas low-scope cues, such as price, can be easily changed by retailers. We propose an innovative Sequential Recommendation model by Integrating Low-scope cues and High-scope cues (SRILH). We design a cue-extraction layer to extract high-scope cues from consumer online reviews and a hierarchical cue-aware attention layer to learn the joint effect of low- and high-scope cues. We evaluate the performance of the proposed model using three real-world datasets, and our experimental results validate its effectiveness and robustness. Our research contributes to sequential recommendations research by uncovering the joint effects of cues on consumer behavior and by providing valuable insights into the dynamics of cue preference formation in recommendation systems. We also extend the empirical literature on cue diagnosticity theory by drawing conclusions from the micro and individual perspectives to shed light on how different cues impact consumer choices. The interpretable visualization results provide managerial insights for retailers and manufacturers to improve their products.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"83 ","pages":"Article 104157"},"PeriodicalIF":11.0,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-24DOI: 10.1016/j.jaccpubpol.2024.107266
Hui Liu , Yaxin Song , Long Zhang , Yuhuan Wang
To improve the information environment, the Chinese stock exchanges issued mandatory industry-related firm-specific information disclosure (IFID) guidelines for various industries in batches from 2013 to 2021. Utilizing the staggered implementation of IFID guidelines, we apply a staggered difference-in-difference method to assess analysts’ reactions to mandatory IFID. Our analysis, which employs text analysis and machine learning techniques, reveals that mandatory IFID stimulates more industry-related firm-specific information in analyst reports, supporting the calling-out effect of IFID on analyst reports. Furthermore, we document that IFID significantly reduces the text similarity of industry-related information across different analyst reports for the same firm, suggesting that analysts engage in more personalized, in-depth industry-related analyses rather than simply replicating the firm’s disclosed information post-IFID. Additionally, IFID prompts analysts to conduct more on-site visits to gather private information and produce more comprehensive industry-related insights. We also explore various factors that may influence the effectiveness of IFID at the industry, firm, and analyst levels. The heterogeneity test results show that the calling-out effect of IFID on analyst reports is strengthened by lower industry competition, better firm transparency, and higher analyst specialization. Overall, our study demonstrates that mandatory IFID in China improves the information environment by directly compelling listed firms to disclose more industry-related operating information and indirectly encouraging analysts to produce more differentiated and insightful analyses.
{"title":"Crowding-out or Calling-out? The influence of mandatory industry-related firm-specific information disclosure on analyst reports","authors":"Hui Liu , Yaxin Song , Long Zhang , Yuhuan Wang","doi":"10.1016/j.jaccpubpol.2024.107266","DOIUrl":"10.1016/j.jaccpubpol.2024.107266","url":null,"abstract":"<div><div>To improve the information environment, the Chinese stock exchanges issued mandatory industry-related firm-specific information disclosure (<em>IFID</em>) guidelines for various industries in batches from 2013 to 2021. Utilizing the staggered implementation of <em>IFID</em> guidelines, we apply a staggered difference-in-difference method to assess analysts’ reactions to mandatory <em>IFID</em>. Our analysis, which employs text analysis and machine learning techniques, reveals that mandatory <em>IFID</em> stimulates more industry-related firm-specific information in analyst reports, supporting the calling-out effect of <em>IFID</em> on analyst reports. Furthermore, we document that <em>IFID</em> significantly reduces the text similarity of industry-related information across different analyst reports for the same firm, suggesting that analysts engage in more personalized, in-depth industry-related analyses rather than simply replicating the firm’s disclosed information post-<em>IFID</em>. Additionally, <em>IFID</em> prompts analysts to conduct more on-site visits to gather private information and produce more comprehensive industry-related insights. We also explore various factors that may influence the effectiveness of <em>IFID</em> at the industry, firm, and analyst levels. The heterogeneity test results show that the calling-out effect of <em>IFID</em> on analyst reports is strengthened by lower industry competition, better firm transparency, and higher analyst specialization. Overall, our study demonstrates that mandatory <em>IFID</em> in China improves the information environment by directly compelling listed firms to disclose more industry-related operating information and indirectly encouraging analysts to produce more differentiated and insightful analyses.</div></div>","PeriodicalId":48070,"journal":{"name":"Journal of Accounting and Public Policy","volume":"49 ","pages":"Article 107266"},"PeriodicalIF":3.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704221","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}
The rise of artificial intelligence is changing the way companies interact with consumers. In the social media context, this has led to the spread of virtual influencers (i.e., influencers that may look human but are not). These new kinds of influencers are gaining popularity on social media, sponsoring renowned brands, and attracting new consumer segments. Despite this, it is still unclear how consumers with different cultural backgrounds may react to them. Based on Hofstede's cultural dimensions theory, we developed two studies showing how collectivistic countries with low uncertainty avoidance are more inclined to exhibit positive attitudes toward these new influencer types. Based on these findings, we provide a diagnostic tool that may orientate companies on how to develop successful collaboration with virtual influencers by limiting possible social concerns.
{"title":"Navigating the uncertainty path of virtual influencers: Empirical evidence through a cultural lens","authors":"Cristian Rizzo , Gabriele Baima , Kamila Janovská , Stefano Bresciani","doi":"10.1016/j.techfore.2024.123896","DOIUrl":"10.1016/j.techfore.2024.123896","url":null,"abstract":"<div><div>The rise of artificial intelligence is changing the way companies interact with consumers. In the social media context, this has led to the spread of virtual influencers (i.e., influencers that may look human but are not). These new kinds of influencers are gaining popularity on social media, sponsoring renowned brands, and attracting new consumer segments. Despite this, it is still unclear how consumers with different cultural backgrounds may react to them. Based on Hofstede's cultural dimensions theory, we developed two studies showing how collectivistic countries with low uncertainty avoidance are more inclined to exhibit positive attitudes toward these new influencer types. Based on these findings, we provide a diagnostic tool that may orientate companies on how to develop successful collaboration with virtual influencers by limiting possible social concerns.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123896"},"PeriodicalIF":12.9,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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