Pub Date : 2024-04-22DOI: 10.1108/gkmc-03-2023-0107
Savita Gupta, Ravi Kiran, Rakesh Kumar Sharma
Purpose In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI). Design/methodology/approach This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%). Findings DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI. Originality/value This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.
本研究扩展了技术使用和接受统一理论（UTAUT2），将数字支付模式（DPM）作为网上购物的新驱动因素，并以对技术的态度（ATTs）为中介，以更好、更深入地了解行为意向（BI）。使用偏最小二乘法结构方程模型来发现使用 UTUAT2 的驱动因素与 DPM 和 ATT 之间的关联。数据被分为测试组（20%）和验证培训组（80%）。该模型还验证了 ATTs 的中介作用。模型的可预测性在测试组（20%）为 67.5%，在培训组（80%）为 69.6%。本研究加深了人们对 DPM 和 ATT 在网上购物期间的 BI 中所起作用的理解，表明印度管理者需要将 DPM 作为一种支持服务，使网上购物成为一种值得体验的经历。
{"title":"Factors impacting online shopping in India: an empirical approach to extending UTAUT2 with the digital payment mode and attitudes toward technology","authors":"Savita Gupta, Ravi Kiran, Rakesh Kumar Sharma","doi":"10.1108/gkmc-03-2023-0107","DOIUrl":"https://doi.org/10.1108/gkmc-03-2023-0107","url":null,"abstract":"\u0000Purpose\u0000In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).\u0000\u0000\u0000Design/methodology/approach\u0000This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).\u0000\u0000\u0000Findings\u0000DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.\u0000\u0000\u0000Originality/value\u0000This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"83 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140675280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-19DOI: 10.1108/gkmc-04-2023-0112
Jitendra Gaur, Kumkum Bharti, Rahul Bajaj
Purpose Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models. Design/methodology/approach The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile). Findings Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value. Originality/value To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.
{"title":"Maximizing marketing impact: heuristic vs ensemble models for attribution modeling","authors":"Jitendra Gaur, Kumkum Bharti, Rahul Bajaj","doi":"10.1108/gkmc-04-2023-0112","DOIUrl":"https://doi.org/10.1108/gkmc-04-2023-0112","url":null,"abstract":"Purpose\u0000Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.\u0000\u0000Design/methodology/approach\u0000The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).\u0000\u0000Findings\u0000Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":" 86","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1108/gkmc-10-2023-0384
Shrawan Kumar Trivedi, Dhurjati Shesha Chalapathi, Jaya Srivastava, Shefali Singh, Abhijit Deb Roy
Purpose Emotional labour (EL) is a complex phenomenon that has received increasing attention in recent years due to its impact on employee’s well-being and job satisfaction. For a comprehensive understanding of the evolving field of EL, it is important to extract different research trends, new developments and research directions in this domain. The study aims to reveal 13 prominent research topics based on the topic modelling analysis. Design/methodology/approach Using latent Dirichlet allocation (LDA) method, topic modelling is done on 1,462 journal research papers published between 1999 and 2023, extracted from the Scopus database using the keyword “EL”. Findings The analysis identifies several emerging trends in EL research, including emotional regulation training and job redesign. Similarly, the topics like EL strategies, cultural differences and EL, EL in hospitality, organizational support and EL, EL and gender and psychological well-being of nursing workers are popular research topics in this domain. Research limitations/implications The findings provide valuable insights into the current state of EL research and can provide a direction for future research as well as assist organizations to design practices aimed at improving working conditions for employees in various industries. Originality/value Topic modelling on emotional labor is done. The paper identifies specific topics or clusters related to emotional labor, quantifies these topics using topic modeling, adds empirical rigor, and allows for comparisons across different contexts.
{"title":"Insights on emotional labour research: a topic modelling approach","authors":"Shrawan Kumar Trivedi, Dhurjati Shesha Chalapathi, Jaya Srivastava, Shefali Singh, Abhijit Deb Roy","doi":"10.1108/gkmc-10-2023-0384","DOIUrl":"https://doi.org/10.1108/gkmc-10-2023-0384","url":null,"abstract":"Purpose\u0000Emotional labour (EL) is a complex phenomenon that has received increasing attention in recent years due to its impact on employee’s well-being and job satisfaction. For a comprehensive understanding of the evolving field of EL, it is important to extract different research trends, new developments and research directions in this domain. The study aims to reveal 13 prominent research topics based on the topic modelling analysis.\u0000\u0000Design/methodology/approach\u0000Using latent Dirichlet allocation (LDA) method, topic modelling is done on 1,462 journal research papers published between 1999 and 2023, extracted from the Scopus database using the keyword “EL”.\u0000\u0000Findings\u0000The analysis identifies several emerging trends in EL research, including emotional regulation training and job redesign. Similarly, the topics like EL strategies, cultural differences and EL, EL in hospitality, organizational support and EL, EL and gender and psychological well-being of nursing workers are popular research topics in this domain.\u0000\u0000Research limitations/implications\u0000The findings provide valuable insights into the current state of EL research and can provide a direction for future research as well as assist organizations to design practices aimed at improving working conditions for employees in various industries.\u0000\u0000Originality/value\u0000Topic modelling on emotional labor is done. The paper identifies specific topics or clusters related to emotional labor, quantifies these topics using topic modeling, adds empirical rigor, and allows for comparisons across different contexts.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":" 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1108/gkmc-08-2023-0288
Khurram Shahzad, S. A. Khan
Purpose The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services. Design/methodology/approach A mixed-methods study through an explanatory research design was applied to address the study’s objectives. Quantitative data were gathered from 341 librarians working in 221 universities, while qualitative data were gathered from 27 experts working in 21 different universities of Pakistan. Findings The findings of the study revealed that online learning has a significant positive impact on the professional development of university librarians. Results revealed that online learning assists in the provision of sustainable, innovative library services in university libraries. Originality/value The study has offered a model in light of the study's quantitative and qualitative findings. It contributes to theoretical understanding by expanding the existing knowledge base. It offers managerial insights, enabling the development of policies that foster the professional development of library personnel and the implementation of smart library services.
{"title":"Impact of online learning on university librarians’ professional development and library services: an explanatory investigation from university librarians of Pakistan","authors":"Khurram Shahzad, S. A. Khan","doi":"10.1108/gkmc-08-2023-0288","DOIUrl":"https://doi.org/10.1108/gkmc-08-2023-0288","url":null,"abstract":"Purpose\u0000The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services.\u0000\u0000Design/methodology/approach\u0000A mixed-methods study through an explanatory research design was applied to address the study’s objectives. Quantitative data were gathered from 341 librarians working in 221 universities, while qualitative data were gathered from 27 experts working in 21 different universities of Pakistan.\u0000\u0000Findings\u0000The findings of the study revealed that online learning has a significant positive impact on the professional development of university librarians. Results revealed that online learning assists in the provision of sustainable, innovative library services in university libraries.\u0000\u0000Originality/value\u0000The study has offered a model in light of the study's quantitative and qualitative findings. It contributes to theoretical understanding by expanding the existing knowledge base. It offers managerial insights, enabling the development of policies that foster the professional development of library personnel and the implementation of smart library services.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":" 70","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1108/gkmc-11-2023-0450
Prerna Panda, Pankaj Singh
Purpose This study aims to examine the association of employee resilience and agility with innovative performance and subjective well-being. Moreover, it tests job crafting as the underlying mechanism through which resilient and agile employees perform innovatively and experience higher subjective well-being. Design/methodology/approach The study used a survey-based research design and structural equation modeling technique to examine the proposed hypotheses. Data was collected from a sample of 380 employees working in the Indian information technology sector using survey questionnaires. Findings The results show that highly resilient and agile employees participate in job crafting that positively influences their innovative performance and subjective well-being. Job crafting fully mediates the association of resilience with work and well-being outcomes and partially mediates agility and outcomes. Practical implications There is a value in promoting the development of employee resilience and agility to foster ways in which employees can craft their jobs and, thus, maximize their innovative performance and subjective well-being. Originality/value This study makes an important contribution by underscoring the importance of personal resources (resilience and agility) as drivers of job crafting for higher innovative performance and subjective well-being.
{"title":"Resilient and agile employees’ pursuit of innovative performance and well-being: the role of job crafting","authors":"Prerna Panda, Pankaj Singh","doi":"10.1108/gkmc-11-2023-0450","DOIUrl":"https://doi.org/10.1108/gkmc-11-2023-0450","url":null,"abstract":"Purpose\u0000This study aims to examine the association of employee resilience and agility with innovative performance and subjective well-being. Moreover, it tests job crafting as the underlying mechanism through which resilient and agile employees perform innovatively and experience higher subjective well-being.\u0000\u0000Design/methodology/approach\u0000The study used a survey-based research design and structural equation modeling technique to examine the proposed hypotheses. Data was collected from a sample of 380 employees working in the Indian information technology sector using survey questionnaires.\u0000\u0000Findings\u0000The results show that highly resilient and agile employees participate in job crafting that positively influences their innovative performance and subjective well-being. Job crafting fully mediates the association of resilience with work and well-being outcomes and partially mediates agility and outcomes.\u0000\u0000Practical implications\u0000There is a value in promoting the development of employee resilience and agility to foster ways in which employees can craft their jobs and, thus, maximize their innovative performance and subjective well-being.\u0000\u0000Originality/value\u0000This study makes an important contribution by underscoring the importance of personal resources (resilience and agility) as drivers of job crafting for higher innovative performance and subjective well-being.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"118 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1108/gkmc-10-2023-0386
Vibhav Singh, N. Vishvakarma, Vinod Kumar
Purpose E-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies. Design/methodology/approach Dark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups. Findings Partial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers. Research limitations/implications TISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation. Practical implications The insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns. Originality/value Although a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.
{"title":"Tracing the origins of manipulation: modeling the enablers behind dark patterns usage in e-commerce through TISM and MICMAC analysis","authors":"Vibhav Singh, N. Vishvakarma, Vinod Kumar","doi":"10.1108/gkmc-10-2023-0386","DOIUrl":"https://doi.org/10.1108/gkmc-10-2023-0386","url":null,"abstract":"\u0000Purpose\u0000E-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies.\u0000\u0000\u0000Design/methodology/approach\u0000Dark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups.\u0000\u0000\u0000Findings\u0000Partial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers.\u0000\u0000\u0000Research limitations/implications\u0000TISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation.\u0000\u0000\u0000Practical implications\u0000The insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns.\u0000\u0000\u0000Originality/value\u0000Although a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":" 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1108/gkmc-06-2023-0190
Alex I Nyagango, A. S. Sife, Isaac Kazungu
Purpose Despite the vast potential of mobile phone use, grape smallholder farmers’ satisfaction with mobile phone use has attracted insufficient attention among scholars in Tanzania. The study examined factors influencing satisfaction with mobile phone use for accessing agricultural marketing information. Design/methodology/approach The study used a cross-sectional research design and a mixed research method. Structured questionnaire and focus group discussions were used to collect primary data from 400 sampled grape smallholder farmers. Data were analysed inferentially involving two-way analysis of variance, ordinal logistic regression and thematic analysis. Findings The findings indicate a statistically significant disparity in grape smallholder farmers’ satisfaction across different types of agricultural marketing information. Grape smallholder farmers exhibited higher satisfaction levels concerning information on selling time compared to all other types of agricultural marketing information (price, buyers, quality and quantity). Factors influencing grape smallholder farmers’ satisfaction with mobile phone use were related to perceived usefulness, ease of use, experience and cost. Originality/value This study contributes to scientific knowledge by providing actionable insights for formulating unique strategies for smallholder farmers’ satisfaction with agricultural marketing information.
{"title":"Factors influencing Satisfaction with mobile phone use for Accessing Agricultural Marketing Information by grape smallholder farmers in Dodoma, Tanzania","authors":"Alex I Nyagango, A. S. Sife, Isaac Kazungu","doi":"10.1108/gkmc-06-2023-0190","DOIUrl":"https://doi.org/10.1108/gkmc-06-2023-0190","url":null,"abstract":"\u0000Purpose\u0000Despite the vast potential of mobile phone use, grape smallholder farmers’ satisfaction with mobile phone use has attracted insufficient attention among scholars in Tanzania. The study examined factors influencing satisfaction with mobile phone use for accessing agricultural marketing information.\u0000\u0000\u0000Design/methodology/approach\u0000The study used a cross-sectional research design and a mixed research method. Structured questionnaire and focus group discussions were used to collect primary data from 400 sampled grape smallholder farmers. Data were analysed inferentially involving two-way analysis of variance, ordinal logistic regression and thematic analysis.\u0000\u0000\u0000Findings\u0000The findings indicate a statistically significant disparity in grape smallholder farmers’ satisfaction across different types of agricultural marketing information. Grape smallholder farmers exhibited higher satisfaction levels concerning information on selling time compared to all other types of agricultural marketing information (price, buyers, quality and quantity). Factors influencing grape smallholder farmers’ satisfaction with mobile phone use were related to perceived usefulness, ease of use, experience and cost.\u0000\u0000\u0000Originality/value\u0000This study contributes to scientific knowledge by providing actionable insights for formulating unique strategies for smallholder farmers’ satisfaction with agricultural marketing information.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"3 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1108/gkmc-06-2023-0188
Nitin Patwa, Monika Gupta, Amit Mittal
Purpose This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information. Design/methodology/approach The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used. Findings The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success. Research limitations/implications The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation. Originality/value Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.
{"title":"Social proof: empowering social commerce through social validation","authors":"Nitin Patwa, Monika Gupta, Amit Mittal","doi":"10.1108/gkmc-06-2023-0188","DOIUrl":"https://doi.org/10.1108/gkmc-06-2023-0188","url":null,"abstract":"Purpose\u0000This study aims to examine the impact of consumer risk appetite, biases (specifically negative recency bias), and the importance of reviews in enhancing information quality. By analyzing these variables, the authors gain insights into their role in enriching the overall information spectrum available to consumers. The findings contribute to a better understanding of how risk appetite, biases and consumer reviews shape the quality of information.\u0000\u0000Design/methodology/approach\u0000The questionnaire assessed the relationship between dependent and independent variables by asking participants to rate their experiences in relevant scenarios. Variance-based structural equation modeling with the ADANCO program was used to examine the data. ADANCO software is used explicitly for variance-based structural equation modeling. To evaluate research models and test hypotheses, partial least square path modeling is used.\u0000\u0000Findings\u0000The efficiency of reviews and ratings is greatly influenced by consumer risk appetite. Businesses should focus on clients who are willing to take risks and balance positive and negative feedback. It is essential to comprehend how customers understand reviews. Credibility is increased by taking biases into account and encouraging unbiased criticism. Promoting thorough reviews strengthens influence. Monitoring and making use of these elements improve online reputation and commercial success.\u0000\u0000Research limitations/implications\u0000The research has limitations due to the simplicity of the attributes taken into account and the requirement for a larger sample size. Overcoming barriers to promote consistent client feedback is essential, and tailored emails can help with assessment generation. Increased customer participation in writing evaluations can be achieved by removing obstacles and highlighting the advantages of participation.\u0000\u0000Originality/value\u0000Businesses and buyers rely on this “organically” generated content as the basis of their promotional strategy and buying decisions. Most of the research is related to consumer reviews, their behavior and the importance of social validation. However, some critical aspects related to this need further investigation.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"6 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1108/gkmc-10-2023-0375
R. S. Chatterjee, Naveed R. Khan, Irfan Hameed, Idrees Waris
Purpose This study aims to emphasize the youth community’s importance in sustaining green entrepreneurial efforts. The study used the stimulus organism response framework as the theoretical base using two separate studies. Design/methodology/approach Study 1 commences the development of the student green engagement construct through a focus group, panel discussion and exploratory factor analysis, which supported five items. Study 2 measures the relationship of student green engagement with green entrepreneurial intention by mediating university entrepreneurial support and entrepreneurial motivation. Data from 448 students were gathered from five Malaysian private institutions using a purposive sampling technique. Findings Findings indicate a robust association of student green engagement (stimuli) with green entrepreneurial intention (organism). Furthermore, mediation analysis shows strong mediating effects of university entrepreneurial support and entrepreneurial motivation on green entrepreneurship behavior (response). Originality/value The study’s findings can help the universities and concerned governmental departments instill a sense of sustainable entrepreneurship in university students.
{"title":"Exploring the relationship between student green engagement and entrepreneurial behavior: a serial mediation approach","authors":"R. S. Chatterjee, Naveed R. Khan, Irfan Hameed, Idrees Waris","doi":"10.1108/gkmc-10-2023-0375","DOIUrl":"https://doi.org/10.1108/gkmc-10-2023-0375","url":null,"abstract":"\u0000Purpose\u0000This study aims to emphasize the youth community’s importance in sustaining green entrepreneurial efforts. The study used the stimulus organism response framework as the theoretical base using two separate studies.\u0000\u0000\u0000Design/methodology/approach\u0000Study 1 commences the development of the student green engagement construct through a focus group, panel discussion and exploratory factor analysis, which supported five items. Study 2 measures the relationship of student green engagement with green entrepreneurial intention by mediating university entrepreneurial support and entrepreneurial motivation. Data from 448 students were gathered from five Malaysian private institutions using a purposive sampling technique.\u0000\u0000\u0000Findings\u0000Findings indicate a robust association of student green engagement (stimuli) with green entrepreneurial intention (organism). Furthermore, mediation analysis shows strong mediating effects of university entrepreneurial support and entrepreneurial motivation on green entrepreneurship behavior (response).\u0000\u0000\u0000Originality/value\u0000The study’s findings can help the universities and concerned governmental departments instill a sense of sustainable entrepreneurship in university students.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"18 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1108/gkmc-10-2023-0380
Ariba Khan, Zebran Khan, M. K. Nabi, Imran Saleem
Purpose The purpose of this study is to propose and test an extended theory of planned behavior model to explain the significance of social media influencers’ credibility, social media usage (SMU) and social media marketing while simultaneously examining females’ intentions to purchase cosmetics online. Design/methodology/approach An online questionnaire was used to collect data from 386 female consumers of cosmetics, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4. Findings First, the results indicated that SMU, social media influencers’ credibility and social media marketing significantly and positively impact the theory of planned behavior components, namely, attitude, subjective norms (SNs) and perceived behavioral control (PBC). Second, results confirmed that attitude, SNs and PBC significantly and positively influenced female consumers’ online purchase intentions (OPIs). Originality/value To the best of the authors’ knowledge, this study is one of the first to examine an integrated model that consisted of SMU, social media marketing and social media influencers along with the theory of planned behavior constructs in their proposed research model in the context of cosmetics in India. The study also enriched the body of knowledge about using the PLS-SEM approach to predict OPI for cosmetics.
{"title":"Unveiling the role of social media and females’ intention to buy online cosmetics","authors":"Ariba Khan, Zebran Khan, M. K. Nabi, Imran Saleem","doi":"10.1108/gkmc-10-2023-0380","DOIUrl":"https://doi.org/10.1108/gkmc-10-2023-0380","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to propose and test an extended theory of planned behavior model to explain the significance of social media influencers’ credibility, social media usage (SMU) and social media marketing while simultaneously examining females’ intentions to purchase cosmetics online.\u0000\u0000\u0000Design/methodology/approach\u0000An online questionnaire was used to collect data from 386 female consumers of cosmetics, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.\u0000\u0000\u0000Findings\u0000First, the results indicated that SMU, social media influencers’ credibility and social media marketing significantly and positively impact the theory of planned behavior components, namely, attitude, subjective norms (SNs) and perceived behavioral control (PBC). Second, results confirmed that attitude, SNs and PBC significantly and positively influenced female consumers’ online purchase intentions (OPIs).\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is one of the first to examine an integrated model that consisted of SMU, social media marketing and social media influencers along with the theory of planned behavior constructs in their proposed research model in the context of cosmetics in India. The study also enriched the body of knowledge about using the PLS-SEM approach to predict OPI for cosmetics.\u0000","PeriodicalId":507843,"journal":{"name":"Global Knowledge, Memory and Communication","volume":"348 10‐11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698339","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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