Pub Date : 2024-06-03DOI: 10.21511/im.20(2).2024.18
Nur Rizqi Febriandika, Cindy Puspitasari, Maziyyatul Muslimah
This study investigates the factors influencing impulse buying behavior in online food purchases in Indonesia. The research gathered data from 270 valid respondents from the Muslim community through an online survey (Google Forms). Demographic analysis revealed a predominantly young, single-student population, primarily from Central Java. The study employed the Structural Equation Modeling (SEM) technique to analyze the data and test the hypotheses. The impulse buying tendency scale included seven variables: religiosity, platform quality, social influence, intentions, self-control, consumer mood and Impulse buying tendency. The results indicate that self-control (β: –0.140, p-value: 0.024) plays a crucial role in mitigating impulse buying tendencies whereas religiosity (β: 0.304, p-value < 0.001) can increase the level of self-control. Additionally, platform quality (β: 0.488, p-value < 0.001) significantly impacts individuals’ intention to engage in impulsive purchases. Consumer mood (β: 0.681, p-value < 0.001) is the highest cause of impulse buying behavior. Notably, self-control can reduce impulsive buying tendencies, which means that the higher the self-control ability, the lower the possibility of making impulse purchases. However, the social influence (β: –0.175, p-value: 0.026) has a negative effect on self-control.
{"title":"Impulse buying tendency in online food delivery service among Muslims in Indonesia","authors":"Nur Rizqi Febriandika, Cindy Puspitasari, Maziyyatul Muslimah","doi":"10.21511/im.20(2).2024.18","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.18","url":null,"abstract":"This study investigates the factors influencing impulse buying behavior in online food purchases in Indonesia. The research gathered data from 270 valid respondents from the Muslim community through an online survey (Google Forms). Demographic analysis revealed a predominantly young, single-student population, primarily from Central Java. The study employed the Structural Equation Modeling (SEM) technique to analyze the data and test the hypotheses. The impulse buying tendency scale included seven variables: religiosity, platform quality, social influence, intentions, self-control, consumer mood and Impulse buying tendency. The results indicate that self-control (β: –0.140, p-value: 0.024) plays a crucial role in mitigating impulse buying tendencies whereas religiosity (β: 0.304, p-value < 0.001) can increase the level of self-control. Additionally, platform quality (β: 0.488, p-value < 0.001) significantly impacts individuals’ intention to engage in impulsive purchases. Consumer mood (β: 0.681, p-value < 0.001) is the highest cause of impulse buying behavior. Notably, self-control can reduce impulsive buying tendencies, which means that the higher the self-control ability, the lower the possibility of making impulse purchases. However, the social influence (β: –0.175, p-value: 0.026) has a negative effect on self-control.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-03DOI: 10.21511/im.20(2).2024.17
Marko van Deventer
Understanding how gender impacts millennial retail banking customers’ bank identification, as well as their perceptions of bank brand personalities, is important, given that retail banks need to effectively segment their markets and develop targeted marketing campaigns to engage and retain millennial customers. The paper aimed to investigate the differences between millennial male and female banking customers in terms of their identification with their retail bank and the brand personalities they associate with their bank. The research utilized a self-executed survey, collecting data from a sample comprising 116 males and 119 females for analysis in South Africa. Using a descriptive research design, the study employed several statistical methods, including independent samples t-tests and multiple linear regression analysis, to observe the potential differences between the genders in bank identity and perceived brand personality. The analysis of the survey data revealed significant differences between male and female participants. It was found that males identified less with their retail bank compared to females. In terms of brand personality, males associated more with the community-driven personality and less with the success, sophistication, and sincerity brand personalities. On the other hand, sophistication (β = 0.356; p = 0.003) and community-driven (β = 0.432; p = 0.002) brand personality influenced the males’ bank identification. None of the brand personalities significantly affected females’ bank identification.
鉴于零售银行需要有效地细分市场并开展有针对性的营销活动以吸引和留住千禧一代客户,因此了解性别如何影响千禧一代零售银行客户对银行的认同以及他们对银行品牌个性的看法非常重要。本文旨在调查千禧一代男性和女性银行客户在对其零售银行的认同感以及与银行相关的品牌个性方面的差异。研究采用了自我调查的方式,收集了南非 116 名男性和 119 名女性的样本数据进行分析。研究采用描述性研究设计,运用了多种统计方法,包括独立样本 t 检验和多元线性回归分析,以观察两性在银行认同和感知品牌个性方面的潜在差异。调查数据分析显示,男性和女性参与者之间存在显著差异。调查发现,与女性相比,男性对其零售银行的认同度较低。在品牌个性方面,男性对社区驱动个性的认同度更高,而对成功、成熟和真诚品牌个性的认同度较低。另一方面,成熟(β = 0.356; p = 0.003)和社区驱动(β = 0.432; p = 0.002)品牌个性影响了男性对银行的认同。所有品牌个性都不会对女性的银行认同产生明显影响。
{"title":"Bank identification and perceived bank brand personality: A gender comparison","authors":"Marko van Deventer","doi":"10.21511/im.20(2).2024.17","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.17","url":null,"abstract":"Understanding how gender impacts millennial retail banking customers’ bank identification, as well as their perceptions of bank brand personalities, is important, given that retail banks need to effectively segment their markets and develop targeted marketing campaigns to engage and retain millennial customers. The paper aimed to investigate the differences between millennial male and female banking customers in terms of their identification with their retail bank and the brand personalities they associate with their bank. The research utilized a self-executed survey, collecting data from a sample comprising 116 males and 119 females for analysis in South Africa. Using a descriptive research design, the study employed several statistical methods, including independent samples t-tests and multiple linear regression analysis, to observe the potential differences between the genders in bank identity and perceived brand personality. The analysis of the survey data revealed significant differences between male and female participants. It was found that males identified less with their retail bank compared to females. In terms of brand personality, males associated more with the community-driven personality and less with the success, sophistication, and sincerity brand personalities. On the other hand, sophistication (β = 0.356; p = 0.003) and community-driven (β = 0.432; p = 0.002) brand personality influenced the males’ bank identification. None of the brand personalities significantly affected females’ bank identification.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272747","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 : 2024-05-24DOI: 10.21511/im.20(2).2024.16
Muhammad Dharma Tuah Putra Nasution, Pipit Buana Sari, Henry Aspan, Yossie Rossanty, Irawan Irawan
Crowdsourcing has emerged as a valuable tool for organizations seeking to access external knowledge and resources for their innovation processes. This study aims to investigate crowdsourcing capabilities in the context of new product development initiatives, with a focus on exploring the moderating effects of firm size and type. Structural Equation Modeling using Partial Least Squares (SEM-PLS) is used to analyze both the measurement and structural models, with data drawn from 217 owners and managers of diverse businesses in Indonesia. These businesses range from small to medium-scale enterprises across various types, including cafes, restaurants, fashion, culinary, and furniture. The findings reveal a positive and significant impact of crowdsourcing capabilities on new product development initiatives (β = 0.746, p = 0.000). Moreover, the relationship between crowdsourcing and new product development is moderated by firm size (whether small or medium) (β = 0.103, p = 0.045) and the type of business (β = 0.157, p = 0.012). The outcomes of this study are anticipated to enrich the body of knowledge and provide valuable guidance for enterprises seeking to harness crowdsourcing in their new product development processes, with specific factors like firm size and type taken into account. AcknowledgmentThis study was supported by the Indonesian Ministry of Education, Culture, and Technology Research in 2022: Research Grant Scheme “PDUPT”No. 124/LL1/LT/K/2022.
{"title":"Crowdsourcing capabilities: fueling new products? How firm size and business type matter","authors":"Muhammad Dharma Tuah Putra Nasution, Pipit Buana Sari, Henry Aspan, Yossie Rossanty, Irawan Irawan","doi":"10.21511/im.20(2).2024.16","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.16","url":null,"abstract":"Crowdsourcing has emerged as a valuable tool for organizations seeking to access external knowledge and resources for their innovation processes. This study aims to investigate crowdsourcing capabilities in the context of new product development initiatives, with a focus on exploring the moderating effects of firm size and type. Structural Equation Modeling using Partial Least Squares (SEM-PLS) is used to analyze both the measurement and structural models, with data drawn from 217 owners and managers of diverse businesses in Indonesia. These businesses range from small to medium-scale enterprises across various types, including cafes, restaurants, fashion, culinary, and furniture. The findings reveal a positive and significant impact of crowdsourcing capabilities on new product development initiatives (β = 0.746, p = 0.000). Moreover, the relationship between crowdsourcing and new product development is moderated by firm size (whether small or medium) (β = 0.103, p = 0.045) and the type of business (β = 0.157, p = 0.012). The outcomes of this study are anticipated to enrich the body of knowledge and provide valuable guidance for enterprises seeking to harness crowdsourcing in their new product development processes, with specific factors like firm size and type taken into account.\u0000AcknowledgmentThis study was supported by the Indonesian Ministry of Education, Culture, and Technology Research in 2022: Research Grant Scheme “PDUPT”No. 124/LL1/LT/K/2022.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101783","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 : 2024-05-14DOI: 10.21511/im.20(2).2024.15
A. S. Suresh, László Vasa, Vinod Sharma, Yogesh Mahajan
The self-drive rental sector has witnessed exponential growth in recent years due to rising demand for long and short-distance drives among millennials. This study aims to investigate the quality of services in the self-driving rental sector and its impact on customer adoption or rejection of service in India. The conceptual framework was developed using the SERVQUAL model and other important factors affecting consumers’ service adoption. A quantitative research method was deployed, and data were gathered through a survey method using a structured questionnaire (based on a 5-point Likert scale). The sample size comprised 385 respondents, 23-38 years old millennials (with 69% of males and 31% of females). The population sample was chosen from Delhi, Mumbai, and Bangalore, India. The data were collected in March 2023. The factor and regression analyses were applied along with chi-square and SEM analyses to test the research hypotheses. The results indicated that the absence of low prices (42%), customer assistance (28 %), and security issues is responsible for consumer rejection. The factors leading to dissatisfaction are the absence of consumer schemes and discounts, a lack of staff interaction and assistance, and poor service quality. The brands must focus on the negative impact arising from the absence of these factors and effectively address the areas of improvement to regain customer trust and garner customer loyalty.
{"title":"Exploring factors of service adoption using SERVQUAL paradigm: Its impact on millennials’ adoption of services in the self-drive rental sector","authors":"A. S. Suresh, László Vasa, Vinod Sharma, Yogesh Mahajan","doi":"10.21511/im.20(2).2024.15","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.15","url":null,"abstract":"The self-drive rental sector has witnessed exponential growth in recent years due to rising demand for long and short-distance drives among millennials. This study aims to investigate the quality of services in the self-driving rental sector and its impact on customer adoption or rejection of service in India. The conceptual framework was developed using the SERVQUAL model and other important factors affecting consumers’ service adoption. A quantitative research method was deployed, and data were gathered through a survey method using a structured questionnaire (based on a 5-point Likert scale). The sample size comprised 385 respondents, 23-38 years old millennials (with 69% of males and 31% of females). The population sample was chosen from Delhi, Mumbai, and Bangalore, India. The data were collected in March 2023. The factor and regression analyses were applied along with chi-square and SEM analyses to test the research hypotheses. The results indicated that the absence of low prices (42%), customer assistance (28 %), and security issues is responsible for consumer rejection. The factors leading to dissatisfaction are the absence of consumer schemes and discounts, a lack of staff interaction and assistance, and poor service quality. The brands must focus on the negative impact arising from the absence of these factors and effectively address the areas of improvement to regain customer trust and garner customer loyalty.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140979288","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 : 2024-05-09DOI: 10.21511/im.20(2).2024.14
Anh Tuan Phan, Anh Van Nguyen, Nhan Van Ho, Giang Ha Hai
The rapid proliferation of social media platforms has sparked heightened interest among businesses seeking to leverage them to enhance customer purchase intentions. Consequently, there has been a surge in research exploring the intersection of social media marketing and consumer behavior. However, gaps persist regarding the primary themes within this research domain. This study analyzes 282 research papers spanning from 2012 to 2022, sourced from the Web of Science Core Collection, focusing on social media and customer purchase intentions. Leveraging Latent Dirichlet Allocation (LDA) commands in STATA and VOSviewer software, the study investigates emerging trends and prevalent themes, visualizing the dataset. The findings indicate a notable increase in research output, particularly from developed countries, with significant collaboration between developed and developing nations. Moreover, the study identifies five principal research topics: 1) the impact of social media marketing on consumer purchase intention, 2) the consequences of online brand communities on purchase behavior, 3) factors influencing consumer purchase intention, 4) influencer effects on purchase intention, and 5) social media advertising and marketing strategies. Future inquiries should delve into various factors shaping customer purchase intentions, including the role of influencers, word-of-mouth dynamics, and advertising strategies while considering the diverse cultural contexts across different regions. This comprehensive analysis provides valuable insights for researchers and practitioners alike, guiding future endeavors in understanding and harnessing the power of social media in consumer decision-making processes. AcknowledgmentsGiang Hai Ha was funded by the Master, PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), code VINIF.2022.TS030.
{"title":"Social media marketing and customer purchase intention: Evidence-based bibliometrics and text analysis","authors":"Anh Tuan Phan, Anh Van Nguyen, Nhan Van Ho, Giang Ha Hai","doi":"10.21511/im.20(2).2024.14","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.14","url":null,"abstract":"The rapid proliferation of social media platforms has sparked heightened interest among businesses seeking to leverage them to enhance customer purchase intentions. Consequently, there has been a surge in research exploring the intersection of social media marketing and consumer behavior. However, gaps persist regarding the primary themes within this research domain. This study analyzes 282 research papers spanning from 2012 to 2022, sourced from the Web of Science Core Collection, focusing on social media and customer purchase intentions. Leveraging Latent Dirichlet Allocation (LDA) commands in STATA and VOSviewer software, the study investigates emerging trends and prevalent themes, visualizing the dataset. The findings indicate a notable increase in research output, particularly from developed countries, with significant collaboration between developed and developing nations. Moreover, the study identifies five principal research topics: 1) the impact of social media marketing on consumer purchase intention, 2) the consequences of online brand communities on purchase behavior, 3) factors influencing consumer purchase intention, 4) influencer effects on purchase intention, and 5) social media advertising and marketing strategies. Future inquiries should delve into various factors shaping customer purchase intentions, including the role of influencers, word-of-mouth dynamics, and advertising strategies while considering the diverse cultural contexts across different regions. This comprehensive analysis provides valuable insights for researchers and practitioners alike, guiding future endeavors in understanding and harnessing the power of social media in consumer decision-making processes.\u0000AcknowledgmentsGiang Hai Ha was funded by the Master, PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), code VINIF.2022.TS030.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140996619","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 : 2024-05-08DOI: 10.21511/im.20(2).2024.13
Jimin Hu, Shafie Sidek, Azmawani Abd Rahman, Raja Nerina Raja Yusof
This study aims to explore the relationship between consumer purchasing behavior and key micro-influencer attributes, including knowledge, entertainment value, credibility, and transparency, within the context of Chinese social media platforms. The paper adopts a quantitative approach, employing partial least squares structural equation modeling (PLS-SEM) to analyze the intricate relationships among latent variables. The respondents comprise active users of major Chinese social media platforms, such as Weibo and Xiaohongshu. For primary data collection, 329 respondents were surveyed online, utilizing a convenient sampling method as part of non-probability sampling. Data collection spanned four weeks, and participants were given the option to respond in either English or Mandarin. The findings suggest significant associations between consumer purchasing behavior and micro-influencer attributes. Specifically, knowledge, entertainment value, credibility, and transparency exhibit varying degrees of influence on consumer behavior within the Chinese social media landscape. The p-value for H1, H2, H3, and H7 appeared as 0.000 and shows that these are the highly significant relations, whereas the p-value for H3 (0.019), for H5 (0.001), and for H6 (0.028) shows that these relations play a moderate role in the proposed model. Elucidating the role of key attributes provides valuable insights for marketers and businesses seeking to leverage micro-influencer marketing strategies effectively in this rapidly evolving digital landscape.
本研究旨在探讨在中国社交媒体平台背景下,消费者购买行为与微影响力的关键属性(包括知识、娱乐价值、可信度和透明度)之间的关系。本文采用定量研究方法,运用偏最小二乘结构方程模型(PLS-SEM)来分析潜在变量之间错综复杂的关系。受访者包括微博和小红书等中国主要社交媒体平台的活跃用户。在原始数据收集方面,采用非概率抽样中的便利抽样法,对 329 名受访者进行了在线调查。数据收集为期四周,受访者可以选择用英语或普通话回答问题。调查结果表明,消费者的购买行为与微影响力属性之间存在明显关联。具体来说,在中国社交媒体环境中,知识、娱乐价值、可信度和透明度对消费者行为有不同程度的影响。H1、H2、H3 和 H7 的 p 值均为 0.000,表明这些关系非常显著,而 H3(0.019)、H5(0.001)和 H6(0.028)的 p 值则表明这些关系在所提出的模型中作用一般。阐明关键属性的作用为营销人员和企业在快速发展的数字环境中有效利用微影响力营销策略提供了宝贵的见解。
{"title":"Navigating influence: Unraveling the impact of micro-influencer attributes on consumer choices in the Chinese social media","authors":"Jimin Hu, Shafie Sidek, Azmawani Abd Rahman, Raja Nerina Raja Yusof","doi":"10.21511/im.20(2).2024.13","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.13","url":null,"abstract":"This study aims to explore the relationship between consumer purchasing behavior and key micro-influencer attributes, including knowledge, entertainment value, credibility, and transparency, within the context of Chinese social media platforms. The paper adopts a quantitative approach, employing partial least squares structural equation modeling (PLS-SEM) to analyze the intricate relationships among latent variables. The respondents comprise active users of major Chinese social media platforms, such as Weibo and Xiaohongshu. For primary data collection, 329 respondents were surveyed online, utilizing a convenient sampling method as part of non-probability sampling. Data collection spanned four weeks, and participants were given the option to respond in either English or Mandarin. The findings suggest significant associations between consumer purchasing behavior and micro-influencer attributes. Specifically, knowledge, entertainment value, credibility, and transparency exhibit varying degrees of influence on consumer behavior within the Chinese social media landscape. The p-value for H1, H2, H3, and H7 appeared as 0.000 and shows that these are the highly significant relations, whereas the p-value for H3 (0.019), for H5 (0.001), and for H6 (0.028) shows that these relations play a moderate role in the proposed model. Elucidating the role of key attributes provides valuable insights for marketers and businesses seeking to leverage micro-influencer marketing strategies effectively in this rapidly evolving digital landscape.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140998860","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}
The purpose of this study is to uncover evidence on the factors influencing switching intention from home delivery to smart lockers in the last-mile delivery service. The research model is constructed based on the Pull-Push-Mooring Theory and the Customer Perceived Value Theory using structural equation modelling to analyze data collected from 557 smart locker users in Vietnam. The results indicated a significantly positive influence of pull factors (convenience, environmental friendliness, and security) and push factors (delivery failure experience and risk), and confirmed that mooring factors (habit and switching cost) negatively impacted customers’ intention to switch from home delivery to smart lockers. The study also revealed that mooring factors moderate the relationship between pull factors and the intention to switch. Moreover, gender, age and frequency of shopping online are significant to switching intention, and usefulness mediates between them and switching intention. Several managerial implications were suggested for stakeholders in order to enhance customers’ switching intentions to use smart lockers, thereby improving the quality, efficiency, and sustainability of the last-mile delivery service in the future.
{"title":"Customer switching intention from home delivery to smart locker delivery: Evidence from Vietnam","authors":"Nguyet Nguyen, Minh Trang Nguyen, Thi Thuy Chung Nguyen, Manh Hung Nguyen","doi":"10.21511/im.20(2).2024.12","DOIUrl":"https://doi.org/10.21511/im.20(2).2024.12","url":null,"abstract":"The purpose of this study is to uncover evidence on the factors influencing switching intention from home delivery to smart lockers in the last-mile delivery service. The research model is constructed based on the Pull-Push-Mooring Theory and the Customer Perceived Value Theory using structural equation modelling to analyze data collected from 557 smart locker users in Vietnam. The results indicated a significantly positive influence of pull factors (convenience, environmental friendliness, and security) and push factors (delivery failure experience and risk), and confirmed that mooring factors (habit and switching cost) negatively impacted customers’ intention to switch from home delivery to smart lockers. The study also revealed that mooring factors moderate the relationship between pull factors and the intention to switch. Moreover, gender, age and frequency of shopping online are significant to switching intention, and usefulness mediates between them and switching intention. Several managerial implications were suggested for stakeholders in order to enhance customers’ switching intentions to use smart lockers, thereby improving the quality, efficiency, and sustainability of the last-mile delivery service in the future.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141005843","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 : 2024-05-03DOI: 10.21511/im.20(2).2024.11
Khansa Zaman, Sajjad Nawaz Khan, Muhhamad Abbas, Amani AbdAlatti
Social media influencers have gained immense attention in recent times due to increased use in the cosmetics industry. Trust and emotional attachment play a vital role between influencers and followers. The aim of this study is to investigate the impact of social media influencers’ characteristics on predicting intention to buy the recommended beauty brands through trust and a moderating role of emotional attachment with influencers. A sample size of 342 respondents from Pakistan was used to empirically test the hypothesized relationships. The respondents were social media users who follow renowned celebrities on various social media platforms and buy beauty products based on their recommendations. Thus, a purposive sampling technique was employed for data collection using online and in-person data collection methods. Quantitative techniques of regression and process models were used for data analysis. The findings show that characteristics of social media influencers, such as credibility and trustworthiness, have a significant positive impact (β = 0.521, p < .05) on the intention to buy cosmetic products from a particular brand. Likewise, emotional attachment between influencers and followers strengthens the effect on willingness to buy an endorsed brand approving moderation (β = 0.584, p < .05). Trust is also an important mediator as it plays a central role between characteristics of social media influencers and intention to buy products (β = 0.411, p < .05). This study discussed the implications and future research directions while incorporating research limitations.