Garima Dalal, Sonia Pannu, Pooja Vyas and Priya Chugh
This study aims to conduct a rigorous bibliometric analysis of impulse buying research trends and patterns, map the conceptual landscape of the field, identify significant themes…
Abstract
Purpose
This study aims to conduct a rigorous bibliometric analysis of impulse buying research trends and patterns, map the conceptual landscape of the field, identify significant themes and propose a roadmap for future studies in this domain.
Design/methodology/approach
This study used Snyder’s (2019) four-step systematic review approach. By using a specific search string, articles from the past 21 years (2003–2023) were retrieved from the Scopus and Web of Science databases. Performance analysis and science mapping were conducted using Biblioshiny to analyze the field’s knowledge base.
Findings
The volume and influence of impulse buying research have surged over the past two decades. The factorial analysis identified three main sub-themes within the impulse buying literature. In addition, Bradford’s law confirmed that the top five journals account for a significant portion of the relevant research. Despite the increased publications, author productivity diverges from Lotka’s law, indicating a few influential authors. This study provides a detailed conceptual map of the research landscape and proposes targeted future research questions by highlighting untapped opportunities.
Research limitations/implications
This study offers insights for refining marketing strategies and highlights the importance of ethical considerations in marketing, especially during crises. It also strengthens the theoretical foundation of impulse buying by mapping core themes and identifying unexplored areas.
Originality/value
This study introduces an innovative approach by using factorial analysis with the multiple correspondence analysis technique to develop a detailed conceptual structure map of impulse buying research. It applies bibliometric laws such as Bradford’s law and Lotka’s law to explain the dispersion of research articles. By identifying core themes, this study charts a roadmap for future inquiry, addressing significant gaps and uncovering new research directions.
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Riktesh Srivastava, Jitendra Singh Rathore, Samiksha Vyas and Rajita Srivastava
The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of…
Abstract
The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.
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Pooja Darda, Om Jee Gupta and Susheel Yadav
Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration…
Abstract
Purpose
Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.
Design/methodology/approach
This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.
Findings
Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.
Research limitations/implications
The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.
Originality/value
Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.
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Forbes Makudza, Divaries C. Jaravaza, Godfrey Makandwa and Paul Mukucha
This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was…
Abstract
This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.
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Tri Yuwono, Weni Novandari, Agus Suroso and Refius Pradipta Setyanto
This study aims to examine and identify how the resource-based view and dynamic capability theory contribute to information and communication technology (ICT) adoption to improve…
Abstract
Purpose
This study aims to examine and identify how the resource-based view and dynamic capability theory contribute to information and communication technology (ICT) adoption to improve micro, small and medium enterprise (MSME) performance, mediated by distinctive competencies. This research provides insight into how MSMEs can improve performance by strategically adopting ICT tools and developing distinctive competencies.
Design/methodology/approach
Data were collected through online questionnaires from creative industry MSMEs (fashion, culinary and crafts) in Indonesia. The results were analyzed using the partial least squares-structural equation method technique (Fornell and Cha, 1994) with Smart PLS 3.0 (Ringle et al., 2015).
Findings
The results show that ICT adoption significantly impacts the MSMEs marketing performance in the creative industry sector. In addition, adopting ICT tools influences the development of distinctive competencies among MSMEs, improving MSMEs marketing performance. Distinctive competencies were found to mediate the relationship between ICT adoption and MSMEs marketing performance, which underscores the importance of technology skills, organizational skills, environmental skills and entrepreneurial mindset in driving business success. These findings highlight the critical role of distinctive competencies as a key factor in leveraging ICT adoption to improve MSMEs marketing performance.
Research limitations/implications
The main limitation is that this research coverage area is less extensive due to the time constraints of this study. Future work could cover different regions and explore other mediators in the ICT–performance relationship.
Practical implications
This research assists MSMEs in improving performance by adopting ICT and developing distinctive competencies with targeted training in relevant skills.
Social implications
This research highlights the potential to improve MSMEs marketing performance and drive economic growth and resilience through ICT adoption.
Originality/value
This study contributes to the existing literature by providing empirical evidence of the relationship between ICT adoption, distinctive competencies and MSME marketing performance in the context of the creative industries sector. This study offers a new perspective on how MSMEs can use ICT tools and develop distinctive competencies to enhance their marketing performance competitive advantage and achieve sustainable growth. By emphasizing the mediating role of distinctive competencies, this study highlights how ICT adoption impacts positively MSME marketing performance, providing valuable insights for practitioners, policymakers and researchers in entrepreneurship and technology adoption.
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Manish Agarwal and V.S. Prasad Kandi
After completion of the case study, the students will be able to assess Paytm’s share buyback in the context of conventional practices, especially for loss-making firms, analyze…
Abstract
Learning outcomes
After completion of the case study, the students will be able to assess Paytm’s share buyback in the context of conventional practices, especially for loss-making firms, analyze the influence of initial public offering (IPO) performance on market sentiments and the role of subsequent events in shaping investor confidence, explore the regulatory framework for share buybacks in India and its impact on Paytm’s decision, scrutinize Paytm’s post-IPO financials and evaluate the board’s rationale for the share buyback and examine the factors influencing Paytm shareholders’ decisions amid the buyback, considering market conditions and the company’s outlook.
Case overview/synopsis
This case study discusses the unorthodox choice made by Paytm, a leading Indian digital payments and financial services provider, to begin a share repurchase program just one year after its substantial IPO. Paytm encountered difficulties as its stock price experienced a sharp decline of 74% following the IPO, which raised concerns among shareholders and elicited mistrust from analysts. This case study explores the reasoning for the buyback, the legislative framework of share buybacks in India and the diverse viewpoints of analysts regarding the company’s financial strategy. This case study provides not only ample opportunity to discuss ethical issues around managers’ corporate actions but also brings investors a dilemma.
Complexity academic level
This case study is suited to Master of Business Administration/Master of Science/Bachelor of Business Administration/Bachelor of Science.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 1: Accounting and Finance.