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This study aims to identify the dimensions of satisfaction in the halal tourism literature by analyzing the identified antecedents and outcomes. The study aims to synthesize the current empirical findings in halal tourism. Additionally, this study provides a comprehensive understanding of the factors that lead to halal traveller satisfaction.

Using a meta-analysis approach, this paper synthesizes the fragmented and conflicting findings of 56 quantitative studies focusing on satisfaction and its antecedents and consequences in the halal tourism context. Data from 145 relationships representing an aggregate sample size of 21,173 were used. Additionally, this study extends the analysis by incorporating contemporary factors such as the impact of COVID-19, sample size and gender as moderators.

The findings indicate that both physical characteristics and psychological aspects are positively related to satisfaction. Further, this study reported that endorsement and revisit intention are the significant consequences of satisfaction. Lastly, this study identifies the significant moderating effect of the COVID-19 pandemic, sample size and gender on the relationship between satisfaction and its antecedents/consequences.

Global halal tourism industry caters to Muslim and non-Muslim tourists across the globe; this article identifies the contributing factors of satisfaction in the halal tourism context. Policymakers can adapt according to their needs and preferences.

This study provides cumulative evidence to the literature regarding the relationship between satisfaction and its antecedents/consequences in halal tourism. This is the first meta-analysis study on the mentioned topic, making significant theoretical, managerial and methodological contributions to halal tourism research.

The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning.

The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined.

The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior.

The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning.

The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.

The purpose of this study is to analyze the impact of ethics and technology towards safety of internet of things (IoT)-enabled system in smart cities of India (SCI).

The determinants that would impact on securing IoT-enabled system in SCI have been identified by the studies of literature. Some hypothesis has been formulated. A conceptual model has been developed. Hypotheses and conceptual models have been tested by a statistical approach through survey works considering the feedbacks of 331 usable respondents. The results have been discussed followed by explaining the implications of this study. A comprehensive conclusion has been provided at the end.

The validated results show that the trust factor has insignificant impacts on the system and technology use, as well as on the behavioural intention. The model provided could achieve 79% explanative power.

For ensuring safety and security of IoT-enabled devices in SCI, the ethical sense of the stakeholders of SCI has considerable impact on securing safety of IoT-enabled devices in SCI. The practitioner should, as such, be sincere to motivate the stakeholders to ameliorate the ethical sense of the stakeholders for securing safety of IoT-enabled devices in SCI.

A few studies in the areas of Indian smart cities, IoT and related ethical issues have been conducted. In that sense, this approach is deemed to be a novel attempt.

The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC.

A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects.

The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies.

The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future.

The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.

Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall illness management. Despite its wider applicability and usage, it is prevalent that users discontinue its usage, which presents an obstacle in the proliferation of such vital innovations among the masses. Therefore, relying on the expectation-confirmation model (ECM), this study aims to delve deeper to explain the factors that motivate users to continually use WMDs by incorporating novel variables, namely, health belief, health information accuracy and privacy protection.

The study proposes and tests an extended ECM perspective to predict the continuance intention (CI) of WMDs among users. By using structural equation modelling using SmartPLS, the authors tested the model on Indian people (n = 451) who had an erstwhile experience of using WMDs.

The study results show that confirmation of users’ expectations positively impacts their usefulness and satisfaction towards WMDs. Moreover, satisfaction towards WMDs is the strongest predictor of users’ CI, followed by perceived usefulness. Interestingly, personal factor such as health beliefs reveals a greater influence on perceived usefulness than technological factors like health information accuracy and privacy protection.

The study findings demonstrate the significance of using the expectation-confirmation perspective in technology-based studies in general and WMDs, in particular. This study aids by offering an integrated model of WMD’s continued usage intention for the users, in addition to practical implications for marketers and policymakers.

A paucity of research exists when understanding the predictors of CI for WMDs. This study fills this gap and adds to behavioural literature by offering a noble viewpoint involving an extended ECM perspective.

This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.

This study performs an extensive literature review and covers the several aspects of green energy management operations.

The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.

The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.

The case study offers a unique teaching tool to the instructor and learners. Very few cases offer a product and segmentation dilemma in a single problem. The discussion would enable learners to:

– conduct a situational analysis by using frameworks such as the 5C and SWOT;

– understand different kinds of segmentation options that a firm can consider;

– understand the nuances of making a viable and actionable new product launch decision;

– analyze the pros and cons of a segmentation decision and comprehend how the decision will impact the firm’s marketing and/or business strategy.

Sirona Hygiene Private Limited was a young startup founded in 2015 by Deep Bajaj. The firm had three brands under its umbrella, namely, female hygiene (Peebuddy), menstrual hygiene (Sirona) and protection and wellness (BodyGuard). Though the firm was recognized for feminine hygiene products, the pandemic boosted the sale of BodyGuard face masks and hand sanitizers.

The sanitizer market was growing, and protection and sanitization products were now part of every consumer’s daily ritual. As BodyGuard now had some brand recognition, Sirona could consider expanding the sanitizer line with a natural new product formulation. However, the expansion decision could have short- and long-term impacts on BodyGuard and Sirona Hygiene. The decision could be two-pronged, involving a product line expansion and revisiting the BodyGuard segmentation strategy. Currently, the BodyGuard range was focused on business-to-consumer (B2C) users, but volumes were higher in business-to-business (B2B). Second, BodyGuard was a forced fit brand amongst the Sirona family of feminine products

Thus, as Sirona considered a new product opportunity, assessing the viability of a possible move to the B2B segment may be prudent. However, the BodyGuard range also had mosquito repellents and baby products, which were essentially a B2C option, so was it more practical to stay as a B2C brand? Furthermore, if BodyGuard stayed a B2C brand, should it consider a demographic segmentation, or was a psychographic approach more beneficial in a cluttered commoditized space such as sanitizers? Which approach would build a consumer–brand connection? Or should the brand straddle both segments? Finally, the firm would also need to assess the BodyGuard segmentation strategy from the overarching Sirona business strategy.

The case can be used for a foundation course in Marketing and/or an advanced elective on Product Management or Marketing Strategy.

Teaching notes are available for educators only.

CSS 8: Marketing.

The main focus of the present study was threefold. Firstly, extraction of the data from the Library and Information Science (LIS) Links; secondly, pre-process the data to remove noises on maximum parameters; and lastly, to know the polarity of the discussion posted on LIS Links.

The advancement in the internet and Web 2.0 technologies have facilitated the academic community with many online platforms like Q&A sites, mailing lists, discussion forums, etc. for disseminating or seeking information. LIS Links is one such discussion forum commonly used by Indian LIS professionals. The analysis of these discussions can help in knowing the experience of LIS professionals in different aspects. The present study is based on a lexicon-based approach, which works on the bag of word model. The open source environment R and its different packages were used for the analysis.

The analysis shows that the majority of the posts on LIS Links were discussed with positive sentiments. There were only very few words of negative sentiments on the discussion forum of LIS Links.

The above review of the literature shows that there have been many studies in different domains. The user responses on different platforms were explored. Also, some studies have conducted sentiment analysis in LIS. However, this was limited to content posted by the libraries or the reviews of books. No research was found in the published literature on the analysis of the opinion of LIS professional.

This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.