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This research intends to analyse the trend in educational technology (EdTech) over the last 20 years using systematic scientific mapping and bibliometric analysis and how it relates to the Indian context. Considering the anticipated growth in this field over the previous three years post-pandemic, an existing literature analysis is required. This study aims to map the existing intellectual structure in EdTech applications to extend the knowledge base further in this field. This study also intends to research how the Indian education sector compares in terms of the research output for the EdTech sector, considering the increased government focus on online learning as per the education policy in 2020. The study's findings will pave the way for sustainable research that will be extended in the future.

Bibliometric analysis is conducted on the manuscripts extracted from Web of Science databases for the last 20 years (from 2003 to 2023). This study uses a descriptive research approach for bibliometric analysis as, by nature, this is an exploratory investigation, and no physical or existing experiment can be performed on the quantification, characteristic or productivity of EdTech applications. VoS Viewer and R software are extensively considered for a detailed bibliometric analysis.

E-learning, blended learning and distance education emerged as the most frequently used keywords. The results reveal that technology adoption, higher education, technology and modelling are the most researched topics in this field.

This research is limited to the last 20 years' database obtained from the Web of Science database and limited to educational, management and operation databases only.

The paper intends to analyse the global scenario of EdTech research and ensures that the paper will effectively connect with researchers, educators, policymakers and practitioners from different parts of the world. The results derived from the bibliometric analysis, cluster analysis and identification of key authors, journals and countries can contribute towards the improved contribution in this area.

The paper discusses the research in EdTech over the last two decades and effectively tries to bridge the gap in global research. Integrating systematic scientific mapping and bibliometric analysis is an innovative way to assess the growth and impact of EdTech. Considering the post-pandemic scenario and the government's emphasis on online learning, these are consistent with current developments.

This study aims to extend existing theories and fills research gaps regarding the acceptance and use of new technologies by consumers by exploring the adoption of app-cab services in India. Through the application and comparison of a unified theory of acceptance and use of technology (UTAUT) and UTAUT 2/expanded-UTAUT (E-UTAUT) models, this paper empirically tests the relationships between important constructs related to technology adoption, acceptance and utilization in India’s emerging economy.

In total, 612 responses to a questionnaire of active and regular users of app-cab services in India are examined. Path analysis and structural equation modeling presents interesting findings indicating that the expanded models have huge implications for the Indian app-cab industry.

This paper finds that the UTAUT 2/E-UTAUT models are a good fit for consumers and their behavior toward technology-based services. In particular, this study, one of the first of its kind, examines consumer acceptance and use behavior and identifies the factors that influence customer behavior with regard to new technology (app-cab services) in an emerging economy (India). Theoretical and practical implications are discussed.

Very few studies are available on app-cab adoption in emerging economies.

This paper aims to find out the impact of seven important factors towards behavior intention on various health-care applications in India. The spectacular rise of uses of smart phones in India has introduced various mobile applications in the market. The mobile applications have become very useful and popular amongst the urban consumers due to several reasons such as reducing time, effort, money, etc. Health-care applications which are used in various smart phones are still in an infancy stage in India. Health-care applications have several advantages and facilities and consumers receive few alerts or suggestions for free. Though the health-care applications have various benefits for everyone, still people are less aware of the services they provide. Fewer studies have been done on this particular subject, and people may find the apps interesting if they understand the benefits of these applications.

This study aims to find out the impact of seven factors towards behavior intention on various health-care applications in India. The 331 samples have been chosen with the help of a structured questionnaire. The researcher has used stratified random sampling to collect the data for conducting the study, and the samples have been collected from four metro cities of India, namely, Kolkata, Mumbai, Delhi and Chennai. Exploratory factor analysis and multiple regression analysis have been conducted to find out the most influencing factor towards intention with SPSS v 21.

The result reveals that out of seven factors, perceived usefulness, enjoyment and time are the most influencing and significant factors towards utilization expectation. The other four variables, namely, cost, increased dependability, perceived ease of use and increased protection do not have a significant impact on the dependent variable. The paper has also revealed that marketers need to penetrate the market with some innovative marketing strategies. The findings of the study is providing the hint for implementing the strategies.

The study is unique in the context of a country like India where no such studies on this subject have been conducted before.

The momentum of globalization has helped the organization to gain new insights into the domain of human resources (HRs). The changing nature of work has affected the coherence of the workplaces. Today, it is essential to preserve and nurture the cognitive and creative abilities of the diverse group of employees so that concrete outcomes and actions can be achieved. Human resource planning (HRP) is one of the processes that facilitate the development of employees and the integration of their individual goals with the business plans. This paper aims to produce useful predictions and unprecedented direction to boost organizational performance amidst cyclical business fluctuations. The innovative HRP programs minimize the dysfunctional aspects of employee handling through proper assessment of their skills and abilities. This inclusive approach initiates a sustainable journey for the firm and heightens its competitive edge.

A descriptive study has been conducted through a structured questionnaire. Primary data were collected from respondents working in the HR department of different manufacturing companies in the state of West Bengal, India. A multistage sampling technique has been used. Data analysis has been conducted through exploratory and confirmatory factor analysis. Through structural equation modeling, the researchers examined a series of dependence relationships simultaneously and represented unobserved concepts.

The current study ratifies the overall model and reflects that the HRP activities, namely, retention plan, professional training and development, job analysis and design, succession planning and redeployment plan vitalizes the performance of the firm. A recruitment plan has a negative and non-significant impact on the functional performance of the organization. Succession planning practices immensely affect the firm’s competitive edge followed by the retention plans. The results also uphold that the efficacious performance of the firm brings in strategic sustainability for it.

HRP activities sufficiently address the HR concerns facilitating the organization to coalesce the needs of the employees and the business. It helps to adopt a long term perspective to foster productivity, innovation and quality. It encourages employees to believe in their competencies to deliver their best. Such practices involve the workforce; coordinate their efforts to contribute meaningfully in this intricate business network. Thus, HRP practices drive to accomplish challenging tasks, focus on creative work-related projects, enhances an employee’s coping skills and morale to establish strategic sustainability for the firm.

The study sheds light on the fact that in this complex and dynamic business system where the authors find multigenerational workforce, it is essential to nurture the subtle aspects of the employees rather than continuous monitoring and controlling them. HRP activities provide such a platform that maximizes employees’ potential and will to fit into a firm’s business strategy and translate a strategic plan into action. Such practices have the capability to intensify the positive aspects and ideas in an organization.

Natural food products are becoming more popular, and their health-related benefits are widely acknowledged. The authors wanted to see the influence of different consumption values on purchase intention of natural food products. To address this gap, the current study proposes to use theory of consumption values to explain customers purchase intention towards natural food products.

The authors used theory of consumption values (TCV), attitude and purchase intention to develop a comprehensive model. About 464 respondents have responded to the structured questionnaire which was floated through email and WhatsApp. Finally, the authors used structural equation modelling and moderation analysis to arrive at the final results.

Except for social value, all constructs named conditional, functional, emotional and epistemic were found to have a favourable and significant impact on consumers’ purchase intention towards natural food products. The study shows that attitude has a moderating effect on the association between emotional value and purchase intention.

This research illuminates the TCV which enable the long-term use of natural food products. In addition, the importance of attitude as a moderator of purchase intent provides a deep understanding of customer behaviour.

This model is the first of its kind in the current literature, using consumption values from the TCV with attitude to regulate purchase intention towards natural food products. In addition, theoretical advancements pave the path for future research.

The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly dependent on the efforts of individual employees, specifically key account managers. Research on KAM at an individual level is important but lacking in the academic domain. This study aims to fill this gap by developing and evaluating a model of key account manager personality traits and how they impact the adoption of artificial intelligence (AI) technologies. The study also depicts the effect of the adoption of AI technologies on competitive advantage and firm performance.

The study examines how the adoption of AI technologies impacts firms’ competitive advantage and performance. The study used competitive advantage as a mediator and organisational culture as a moderator. A mixed-method analysis was used to conduct the study. In the first phase, an exploratory study was conducted using interviews with 26 key account managers from the automobile industry and thematic analysis to establish 9 constructs. In the second phase, which is a confirmatory study, 496 respondents finally responded to the questionnaire.

All constructs are used for confirmatory analysis and validate the data. Our research shows that key account managers’ adoption of AI technologies is influenced significantly by personality traits. Extraversion, agreeableness, conscientiousness, neuroticism and openness have substantial links to adopting AI technologies, which impacts firms’ competitive advantage and performance. Organisational culture significantly moderates the association between agreeableness and the adoption of AI technologies.

The findings of this research allow organisations to optimise team composition, customise training programs based on individual traits and incorporate personality assessments into recruitment processes for streamlined technology adoption and improved competitiveness. Overall, these actions aim to enhance AI integration, driving competitive advantage and client satisfaction.

This study stands out as one of the limited inquiries examining how the Big-five personality traits of key account managers influence the integration of AI technologies and its resulting impact on company performance. Therefore, this research makes notable contributions to the realms of organisational psychology and technology adoption studies.

This study investigates barriers to consumers’ organic food purchasing. It identifies the factors and the extent to which they influence their purchase behaviours and future purchase intentions (i.e. continuance purchase intentions).

It combines qualitative and quantitative methods across two phases. Longitudinal research was carried out in two phases. It involved a thematic analysis and a covariance-based structural equation modelling approach. During Phase-1 and Phase-2, responses were collected from 376 and 351 respondents, respectively.

Phase 1 found the value barrier was significantly affecting the consumers’ purchase intention, while Phase 2 identified the impacts from both image and value barriers on purchase intentions. Notably, purchase intention affected continuance intention in both phases, while ethnocentrism showed no influence.

Using the innovation resistance theory, this study sheds light on the factors that prevent purchase intention. It offers valuable insights for policymakers and for the marketers of organic foods. This contribution implies that value and usage barriers were affecting the consumers’ purchase intentions in the short as well as in the long term. In sum, it suggests that consumers were not purchasing organic food as they felt it was either overpriced, not available in the market or because they were sceptical about its organic labelling.

This research focuses on developing and testing a conceptual model that explores customer behavioural responses (engagement, experience and recommendation) towards generative artificial intelligence (AI)-enabled chatbots. It highlights the significant influence of anthropomorphic characteristics in enhancing perceptions of competence and warmth, further enhancing perceived authenticity. In addition, this study aims to investigate how the need for social interactions moderates these relationships.

This study used a self-administered questionnaire distributed on Prolific Academic to gather data from 282 eligible participants worldwide. This study uses a structural equation modelling approach to answer the research questions.

The findings reveal that anthropomorphic characteristics of generative AI-enabled chatbots are positively associated with perceived competence. Moreover, the findings show that the perceived competence and warmth of generative AI-enabled chatbots are significantly associated with perceived authenticity. Furthermore, the results highlight that the perceived authenticity of generative AI-enabled chatbots is positively associated with customer engagement, experience and recommendation. Finally, the results illustrate that the impact of anthropomorphic characteristics on perceived warmth is significantly moderated by the need for social interaction.

This study enriches the generative AI literature and guides organizations in understanding consumer interactions for leveraging generative AI-enabled chatbots. Furthermore, this study contributes to the social response theory literature as this study investigates how user behavioural intentions towards generative AI-enabled chatbots are influenced by their perceived level of anthropomorphic characteristics.

This study aims to apply the theory of consumption value to analyze the utilization of Metaverse technologies within hospitality and tourism while examining the factors that impact consumer intentions to use the Metaverse.

This paper aims to consider an extensive study spanning the period October 2021 to March 2023 was conducted to understand the shifts in an individual's intention to use Metaverse technologies in hospitality.

The findings of this study confirm that individual attitudes to the Metaverse and trust in Metaverse technologies significantly impact their intention to use the Metaverse.

The study aims to provide fresh insights into how individuals perceive Metaverse technologies in the context of choosing hotels and resorts, which enriches the understanding of consumer behaviors around Metaverse technology in hospitality.

This study aims to consider not only tourist intentions to use the Metaverse but also how diverse consumption values impact user attitudes, an area currently underresearched.

Food waste constitutes a critical global dilemma, presenting substantial environmental, economic and social challenges, with around one-third of all food intended for human use being discarded annually. This waste depletes essential resources, increases greenhouse gas emissions and intensifies food poverty. Comprehending the factors contributing to food waste is crucial for formulating effective methods to alleviate this issue.

The responses have been collected from Indian households using longitudinal techniques. In Study 1, 481 respondents responded to the questions, and in Study 2, finally, 453 respondents responded.

This study examines the relationship between attitudes about food waste, intents to mitigate waste and several influencing factors like price sensitivity, altruistic behavior, awareness of food waste and societal norms.

The study seeks to elucidate consumer behavior by analyzing these relationships and identify practical interventions that can encourage a more sustainable food consumption approach, thereby aiding in the reduction of food waste and the promotion of responsible consumption practices.