Most recent issue published online in the International Journal of Electronic Marketing and Retailing.
International Journal of Electronic Marketing and Retailing
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International Journal of Electronic Marketing and Retailing
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© 2024 Inderscience Enterprises Ltd.
© 2024 Inderscience Publishers Ltd
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International Journal of Electronic Marketing and Retailing
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http://www.inderscience.com/browse/index.php?journalID=43&year=2024&vol=15&issue=2
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Modelling the antecedents of online impulse buying in cross-cultural context
http://www.inderscience.com/link.php?id=136979
The modelling of antecedents of online impulse buying is carried out in cross-cultural context. Structural equation modelling (SEM) using AMOS is used to validate the hypothesised relationship between urge to buy impulsively (UBI), its antecedents, and online impulse buying. A sample of 650 of Indian and Bahraini (India - 405, Bahrain - 245) customers are collected through online survey using structured questionnaire. The construct UBI is measured with its antecedent online sales promotion, personal factor, and website quality. Culture is used as a moderating variable and found significant in moderating the relationships in both cultures. This model can be useful for the e-commerce firms offering their products online. Online impulse buying has not been much investigated in cross-cultural context which makes this study unique and novel. This study will fill the knowledge gap in cross-cultural online impulse buying literature.
Modelling the antecedents of online impulse buying in cross-cultural context
Abu Bashar; Shalini Singh; Vivek Kumar Pathak
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 139 - 160
The modelling of antecedents of online impulse buying is carried out in cross-cultural context. Structural equation modelling (SEM) using AMOS is used to validate the hypothesised relationship between urge to buy impulsively (UBI), its antecedents, and online impulse buying. A sample of 650 of Indian and Bahraini (India - 405, Bahrain - 245) customers are collected through online survey using structured questionnaire. The construct UBI is measured with its antecedent online sales promotion, personal factor, and website quality. Culture is used as a moderating variable and found significant in moderating the relationships in both cultures. This model can be useful for the e-commerce firms offering their products online. Online impulse buying has not been much investigated in cross-cultural context which makes this study unique and novel. This study will fill the knowledge gap in cross-cultural online impulse buying literature.]]>
10.1504/IJEMR.2024.136979
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 139 - 160
Abu Bashar
Shalini Singh
Vivek Kumar Pathak
IMS Unison University, Makkawala Greens, Mussoorie Diversion Road, Dehradun, 248009, Uttarakhand, India ' IMS Unison University, Makkawala Greens, Mussoorie Diversion Road, Dehradun, 248009, Uttarakhand, India ' IMS Unison University, Makkawala Greens, Mussoorie Diversion Road, Dehradun, 248009, Uttarakhand, India
online impulse buying
SEM
cross-culture
urge to buy impulsively
UBI
website quality
WQ
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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160
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An analysis of consumer perception towards supermarket and online shopping: a systematic review
http://www.inderscience.com/link.php?id=136974
The study's primary purpose here is to identify the perception held by consumers toward the supermarkets and online shopping platforms. The traditional organised retail stores (supermarkets) gained popularity for shopping, however, with the advent of technology, online shopping channels have been highly preferred by consumers in recent times. Although the past literature is abundant, with studies affecting consumers' perception of the two modes of shopping, a comparative analysis based on them is lacking. This study addresses this gap and conducts a systematic review followed by the PRISMA method. The study identifies three sets of factors for consumer perception towards supermarkets includes ambience, quality and price and online shopping includes perceived risk and trust, word-of-mouth effectiveness and the website design. The study overall is able to put forward the key factors that have been established to cause a significant impact on consumer perception and can be used for future research.
An analysis of consumer perception towards supermarket and online shopping: a systematic review
Shagun Jain; Tina Shivnani; Jampala Maheshchandra Babu
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 161 - 180
The study's primary purpose here is to identify the perception held by consumers toward the supermarkets and online shopping platforms. The traditional organised retail stores (supermarkets) gained popularity for shopping, however, with the advent of technology, online shopping channels have been highly preferred by consumers in recent times. Although the past literature is abundant, with studies affecting consumers' perception of the two modes of shopping, a comparative analysis based on them is lacking. This study addresses this gap and conducts a systematic review followed by the PRISMA method. The study identifies three sets of factors for consumer perception towards supermarkets includes ambience, quality and price and online shopping includes perceived risk and trust, word-of-mouth effectiveness and the website design. The study overall is able to put forward the key factors that have been established to cause a significant impact on consumer perception and can be used for future research.]]>
10.1504/IJEMR.2024.136974
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 161 - 180
Shagun Jain
Tina Shivnani
Jampala Maheshchandra Babu
Department of Commerce, Manipal University Jaipur, India ' Department of Commerce, Manipal University Jaipur, India ' Department of Business Administration, Manipal University Jaipur, India
consumer
perception
supermarkets
shopping
online
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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161
180
2024-03-01T23:20:50-05:00
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Consumer perception regarding the ethics of online retailing: a review, synthesis, and future research directions
http://www.inderscience.com/link.php?id=136981
The study is a systematically structured review of the academic literature on consumer perception regarding the ethics of online retailing (CPEOR). It analyses the thematic research developments during the last two decades. The authors reviewed quality papers published in eight academically recognised business management databases and classified the CPEOR literature in five broad areas, i.e., ethical issues related to marketing strategy, website dimensions on online retailing ethics, online consumer decision making, consumers' perceptions of online retailer's ethics, and the consumer characteristics influencing ethical/unethical consumption. A thorough analysis of research papers establishes that CPEOR influences customer behaviour and e-retailer performance. The proposed framework depicts the antecedents and consequences as potential themes for future studies. Due to limitations of empirical validation, future researchers can test the proposed framework. The generalisation of CPEOR study findings offers valuable insights to the online retail managers and researchers with directions for further research.
Consumer perception regarding the ethics of online retailing: a review, synthesis, and future research directions
Saptarshi Bhattacharya; Rajendra Prasad Sharma; Ashish Gupta
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 181 - 202
The study is a systematically structured review of the academic literature on consumer perception regarding the ethics of online retailing (CPEOR). It analyses the thematic research developments during the last two decades. The authors reviewed quality papers published in eight academically recognised business management databases and classified the CPEOR literature in five broad areas, i.e., ethical issues related to marketing strategy, website dimensions on online retailing ethics, online consumer decision making, consumers' perceptions of online retailer's ethics, and the consumer characteristics influencing ethical/unethical consumption. A thorough analysis of research papers establishes that CPEOR influences customer behaviour and e-retailer performance. The proposed framework depicts the antecedents and consequences as potential themes for future studies. Due to limitations of empirical validation, future researchers can test the proposed framework. The generalisation of CPEOR study findings offers valuable insights to the online retail managers and researchers with directions for further research.]]>
10.1504/IJEMR.2024.136981
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 181 - 202
Saptarshi Bhattacharya
Rajendra Prasad Sharma
Ashish Gupta
Indian Institute of Foreign Trade (IIFT), Delhi and Kolkata, India ' Indian Institute of Foreign Trade (IIFT), Delhi and Kolkata, India ' Indian Institute of Foreign Trade (IIFT), Delhi and Kolkata, India
CPEOR
online retailing
ethics
privacy
security
consumer perception
systematic literature review
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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202
2024-03-01T23:20:50-05:00
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Salespeople's psychological antecedents of sales force automation adoption and use in the industrial healthcare setting
http://www.inderscience.com/link.php?id=136980
This study aims to test the effect of salespeople's psychological factors on sales force automation (SFA) adoption and use in the industrial healthcare industry. SEM was used to analyse a sample of 93 salespeople in the healthcare industry. The novelty of this research is that it contributes to SFA literature from two sides. First, it examines the psychological antecedents that influence SFA adoption and use. Second, it tests the effect of psychological antecedents that influence the salesforce adoption and use in a specific context, 'the healthcare industry'. Findings show that attitude toward change has a negative effect on SFA adoption and use, while self-efficacy and personal innovativeness positively affect SFA adoption and use. The study has some limitations such as sample size, number of constructs, data collection design. Findings of this study can help managers to develop the relevant training and recruitment strategies that encourage the SFA adoption and use.
Salespeople's psychological antecedents of sales force automation adoption and use in the industrial healthcare setting
Kohail Younes
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 203 - 222
This study aims to test the effect of salespeople's psychological factors on sales force automation (SFA) adoption and use in the industrial healthcare industry. SEM was used to analyse a sample of 93 salespeople in the healthcare industry. The novelty of this research is that it contributes to SFA literature from two sides. First, it examines the psychological antecedents that influence SFA adoption and use. Second, it tests the effect of psychological antecedents that influence the salesforce adoption and use in a specific context, 'the healthcare industry'. Findings show that attitude toward change has a negative effect on SFA adoption and use, while self-efficacy and personal innovativeness positively affect SFA adoption and use. The study has some limitations such as sample size, number of constructs, data collection design. Findings of this study can help managers to develop the relevant training and recruitment strategies that encourage the SFA adoption and use.]]>
10.1504/IJEMR.2024.136980
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 203 - 222
Saptarshi Bhattacharya
Rajendra Prasad Sharma
Ashish Gupta
ESCA Shaping Leaders, 7, rue Abou Youssef El Kindy Bd. Moulay Youssef, Casablanca 20320, Maroc, 20320 Casablanca, Morocco
salespeople
attitude toward change
sales force automation
SFA
creative self-efficacy
personal innovativeness
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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222
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Predicting repurchase intentions with website usability: a parallel mediation of perceived customers satisfaction and service quality confirmation
http://www.inderscience.com/link.php?id=137130
The purpose of the study is to check the parallel mediation effect of perceived customer satisfaction and service quality confirmation in the relationship of perceived website usability and repurchase intentions of the consumers in the case of fashion apparel. Data were collected from 480 respondents of Punjab and Chandigarh, India. To analyse the data SPSS version 24 and variance-based partial least square in software Smart PLS 3 was used. Further consistent PLS algorithm and consistent bootstrapping with 5,000 bootstraps were applied to analyse the results. The results of the research indicate the positive and significant direct influence of websites on repurchase intentions. The study also showed that perceived customer satisfaction and service quality confirmation strengthen the relationship between website usability and repurchase intentions. Further, there has been little research conducted testing the parallel mediation of service quality confirmation and customer satisfaction. Moreover, for the highly competitive industry of fashion apparel, the results will be highly useful. The findings of the study make a significant contribution to the existing literature and can be used by the e-commerce companies dealing in fashion apparel for attaining a significant customer base.
Predicting repurchase intentions with website usability: a parallel mediation of perceived customers satisfaction and service quality confirmation
Ella Mittal; Parvinder Kaur
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 223 - 239
The purpose of the study is to check the parallel mediation effect of perceived customer satisfaction and service quality confirmation in the relationship of perceived website usability and repurchase intentions of the consumers in the case of fashion apparel. Data were collected from 480 respondents of Punjab and Chandigarh, India. To analyse the data SPSS version 24 and variance-based partial least square in software Smart PLS 3 was used. Further consistent PLS algorithm and consistent bootstrapping with 5,000 bootstraps were applied to analyse the results. The results of the research indicate the positive and significant direct influence of websites on repurchase intentions. The study also showed that perceived customer satisfaction and service quality confirmation strengthen the relationship between website usability and repurchase intentions. Further, there has been little research conducted testing the parallel mediation of service quality confirmation and customer satisfaction. Moreover, for the highly competitive industry of fashion apparel, the results will be highly useful. The findings of the study make a significant contribution to the existing literature and can be used by the e-commerce companies dealing in fashion apparel for attaining a significant customer base.]]>
10.1504/IJEMR.2024.137130
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 223 - 239
Ella Mittal
Parvinder Kaur
Department of Basic and Applied Sciences, Punjabi University, Patiala, India ' University School of Applied Management, Punjabi University, Patiala, India
customer satisfaction
repurchase intentions
service quality confirmation
SQC
website usability
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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223
239
2024-03-01T23:20:50-05:00
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Intelligent model to improve the efficacy of healthcare content marketing by auto-tagging and exploring the veracity of content using opinion mining
http://www.inderscience.com/link.php?id=136978
Digital content is favourably useful for sales and marketing industries and the healthcare industry is no exception. Most user seeks medical advice for treatment as well as health information by crawling and analysing the information on the web. The digital content must be highly trustworthy in the healthcare domain as it involves the health of a human. This paper presents an intelligent model that intends to analyse the relevancy and reliability of the content by applying sentimental analysis to the readers' comments. The model applies relevancy computation for analysing the content, enhanced lexicon analyser for scoring the words, maximum entropy model for classification and computes the veracity score. Based on the computed score, the content can be recommended to the readers and auto-tagged effectively. The result analysis made with the healthcare contents proves the effective performance of the proposed model in analysing the reliability of the information.
Intelligent model to improve the efficacy of healthcare content marketing by auto-tagging and exploring the veracity of content using opinion mining
S. Sri Hari; S. Porkodi; R. Saranya; N. Vijayakumar
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 240 - 260
Digital content is favourably useful for sales and marketing industries and the healthcare industry is no exception. Most user seeks medical advice for treatment as well as health information by crawling and analysing the information on the web. The digital content must be highly trustworthy in the healthcare domain as it involves the health of a human. This paper presents an intelligent model that intends to analyse the relevancy and reliability of the content by applying sentimental analysis to the readers' comments. The model applies relevancy computation for analysing the content, enhanced lexicon analyser for scoring the words, maximum entropy model for classification and computes the veracity score. Based on the computed score, the content can be recommended to the readers and auto-tagged effectively. The result analysis made with the healthcare contents proves the effective performance of the proposed model in analysing the reliability of the information.]]>
10.1504/IJEMR.2024.136978
International Journal of Electronic Marketing and Retailing, Vol. 15, No. 2 (2024) pp. 240 - 260
S. Sri Hari
S. Porkodi
R. Saranya
N. Vijayakumar
Department of Computer Science, Illinois Institute of Technology, Chicago, USA ' Department of Business Studies, University of Technology and Applied Sciences (HCT), Muscat, Sultanate of Oman ' Department of Business Studies, University of Technology and Applied Sciences (HCT), Muscat, Sultanate of Oman ' Department of Computer Science, Technical Administrative Training Institute, Muscat, Sultanate of Oman
healthcare content marketing
opinion mining
sentiment analysis
content relevancy
content reliability
auto-tagging
maximum entropy model
2024-03-01T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
15
2
240
260
2024-03-01T23:20:50-05:00