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The purpose of this paper is to examine the impact of the constructs – utilitarian, hedonic and social value on the perceptions of the full-time instructors related to their social media technology (SMT) management for learning and teaching practices at workplace.

A survey is used to gather the data from 180 instructors (full time) working at one of the colleges owned by the ministry of manpower, Oman. This paper uses reliability analysis to determine Cronbach’s α and analysis of variance for the empirical investigation of instructors’ perceptions on SMT management.

The analysis shows that 98 per cent of the instructors use SMTs at their workplace. Social influence is found more dominating than utilitarian and hedonic constructs in impacting on instructors’ intention for SMT use. Findings also claim that higher the use of SMT at workplace stronger the influence on learning and teaching practices of higher education instructors.

The findings of this study can be used as the recommendations for all the faculty members to use SMTs for their educational, learning and teaching practices. The administration can develop policies to motivate instructors to manage such technologies for professional and personal development to enhance learning and teaching environment at workplace.

This study is perhaps the leading attempt to use utilitarian, hedonic and social value perceptions of the instructors to investigate the management of SMTs in an academic culture and settings of the developing country in the Middle East (Oman).

Nowadays, various hotels and third party websites allow guests to express their stay experience in the form of textual content and ratings termed as user-generated content (UGC). This study aims to explore the influence of UGC along with the financial aspect on the sales of the hotel. This will help them in making efficient business decisions and revenue generation by realizing the requirements of the guests. The proposed model provides an insight into the theoretical and practical significance of the concerned explanatory variables to the hoteliers.

This paper considers the number of rooms, six aspect ratings (room, cleanliness, location, service, value and sleep quality), review length and readability as the independent variables. Revenue per available room is taken as the dependent variable. Log-linear regression analysis is performed on a data set of 78 hotels situated in Delhi National Capital Region to validate the relationships. Moreover, the differential impact of hotel type on these exploratory variables is studied.

Research findings show that along with the financial aspect, the UGC components also play a key role in generating sales for the hotels. It was further observed that the two hotel categories, i.e. luxury and budget have different natures and also the characteristics of luxury hotels overshadow those of budget.

This study uses the textual content of the reviews along with the numerical ratings. This is a unique combination for studying sales of hotels according to the knowledge of authors, where earlier studies focused only on the financial aspects.

YouTube (YT) has become a trend among millennials, and thus, marketers are trying to harness the power of it to communicate with them. Global marketers need to understand the mechanism of communicating via YT advertising (YTAD), especially in India that consists of 440 million millennials to re-strategize their YT communications. Consequently, this study aims to examine the influence of YTAD on the cognitive attitude, namely, brand awareness (BA) and brand knowledge (BK) of Indian millennials. The study also tests the moderating impacts of gender, device used for YT watching (DEYTW), duration and frequency of YT watching (DUYTW and FEYTW) on BA and BK.

Generalized linear model – analysis of variance has been used to investigate the proposed relationships in the study. Responses of 294 Indian millennials who watch YTAD regularly have been used for the final analysis. Moderating effects were also tested using Bonferroni pairwise comparisons.

The results revealed that YTAD significantly improves the cognitive attitude (BA and BK). However, gender was not found to have any moderating effect in the relationship of YTAD with BA, whereas moderating effects of gender were observed in the relationship of YTAD with BK. Furthermore, other moderators including DEYTW, DUYTW and FEYTW were found to have significant moderating impacts in the above-mentioned relationships.

In a country like India, comprising the largest millennial population of the world who spends a significant portion of their time in watching YT, it becomes crucial for global marketers to understand how the cognitive attitude (i.e. BA and BK) of millennials improves by watching YT advertisements. As it will help them in strategizing their communications on YT to get favourable consumers’ responses like purchase intention and actual purchase that may happen only when people have favourable cognitive attitude towards advertised brands.

The study offers new perspective to the field of communication by investigating the impact of YTAD on the cognitive attitude (i.e. BA and BK) of Indian millennials.

The experiential nature of travel and tourism services has popularized the importance of electronic word-of-mouth (EWOM) among potential customers. EWOM has a significant influence on hotel booking intention of customers as they tend to trust EWOM more than the messages spread by marketers. Amid abundant reviews available online, it becomes difficult for travelers to identify the most significant ones. This questions the credibility of reviewers as various online businesses allow reviewers to post their feedback using nickname or email address rather than using real name, photo or other personal information. Therefore, this study aims to determine the factors leading to reviewer credibility.

The paper proposes an econometric model to determine the variables that affect the reviewer’s credibility in the hospitality and tourism sector. The proposed model uses quantifiable variables of reviewers and reviews to estimate reviewer credibility, defined in terms of proportion of number of helpful votes received by a reviewer to the number of total reviews written by him. This covers both aspects of source credibility i.e. trustworthiness and expertness. The authors have used the data set of TripAdvisor.com to validate the models.

Regression analysis significantly validated the econometric models proposed here. To check the predictive efficiency of the models, predictive modeling using five commonly used classifiers such as random forest (RF), linear discriminant analysis, k-nearest neighbor, decision tree and support vector machine is performed. RF gave the best accuracy for the overall model.

The findings of this research paper suggest various implications for hoteliers and managers to help retain credible reviewers in the online travel community. This will help them to achieve long term relationships with the clients and increase their trust in the brand.

To the best of authors’ knowledge, this study performs an econometric modeling approach to find determinants of reviewer credibility, not conducted in previous studies. Moreover, the study contracts from earlier works by considering it to be an endogenous variable, rather than an exogenous one.

Fruits and vegetables, being good source of energy, health promoting and protecting compounds with unique taste and flavor, are attracting consumers since ages. These horticultural produces start deterioration just after harvest; therefore, their proper storage is must during transportation and storage to retain maximum quality parameters and for good market value. Best storage conditions are required to prevent growth of micro flora and to maintain the nutritional values of harvested produce. Retailers and processors in every corner of world want to move toward the cheaper ways to increase the shelf life and texture of horticultural crops for better consumer preference. The purpose of this paper is to make consumers and researchers aware about different post harvest malpractices in fresh fruits and vegetables.

Lot of chemicals like colors, artificial ripening agents, sweeteners and waxes are applied on surface of horticulture produce to siphon off money from consumers, and these have adverse health effects directly or indirectly. Various regulatory agencies have launched various programs, acts and laws for monitoring and avoiding such unhealthy ways. Regulatory bodies launched training programs also for the food handlers and consumers to ensure the food safety from farm to fork.

This paper will throw light on different malpractices followed by retailers to manipulate the quality which causes adverse health effects and to create consumer awareness regarding such malpractices.

The paper emphasizes on current malpractices followed by retailers to mislead the consumers about fruits’ and vegetable’ quality by using sweeteners, colors and other chemical. On prolonged consumption, such substances lead to major health issues such as attention disorder.

With the growth in internet technology, the competition between the e-commerce firms has become fierce. This has forced these online vendors to consider customer-centric strategies apart from the retail strategies for generating revenue. The purpose of this paper is to propose a structural model to study the interrelationship between a formative endogenous latent variable (LV), i.e. e-commerce success, and other LVs representing the customer-oriented success factors such as website service quality (WSQ), customer support system (CSS), personalization and electronic word-of-mouth (EWOM).

The authors develop a structural model to validate the determinants of electronic commerce success. Survey-based data obtained from 265 respondents are used to validate the model hypotheses. To analyze the data, partial least squares-structural equation modeling (PLS-SEM) is performed using smartPLS 2.0 software. The results on the interrelationships between the constructs are determined using path analysis.

The data analysis results infer the impact of these success factors on e-commerce success systems. After applying bootstrapping technique, the authors observed that WSQ, CSS, personalization and EWOM have a significant positive effect on e-commerce system success (ESS). Further studies can be performed considering mobile commerce and their critical success factors.

The findings of the study emphasize on the importance of these four exogenous variables for e-businesses in order to achieve a competitive edge over their competitors. The study provides a detailed managerial implication with respect to each causal relationship, so as to suggest some remedial measures to gain customer market.

Here, the authors consider an empirical model which shows the determinants of ESS. To the best of the authors’ knowledge, a distinctive system success framework is modeled considering a unique combination of exogenous variables not considered by previous studies.

Purpose: To analyse the insurance market breakthroughs through ‘Big Data’ and the possibility of new techniques of services provided, creating access for information gathering and fraud detection. This can contribute to improved risk management processes and mitigation strategies referred to as ‘InsurTech’.

Methodology: We catalogue the technique which is especially useful and being evaluated as having the ability to bring innovations to the insurance business. In doing this, we reveal which marketplaces actively participate in start-ups and how insurers engage in them and present them, highlighting the impact of blockchain technology, ride services, robo-advice, and data analysis on the insurance industry.

Findings: Findings show that because emerging economies have fewer organisation needs to ensure the distribution model, technology and research may significantly influence such areas. Nonetheless, whether industrialised or emergent, relevant legislative inspections should be carried out to protect subscribers’ welfare.

Practical implication: Since ‘Big Data’ impacts insurers’ constant monitoring of business risks and corporate governance, an overview of how information is harnessed should be carefully studied. Moreover, it is essential to study the handling of algorithms to guarantee that the expectations are reasonable and that unforeseen effects are avoided to the greatest extent feasible, and regulators have a mechanism for engaging in this review.

This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.

WCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.

Firstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.

First, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.

An efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.

This study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.

This study aims to examine the moderating role of two product-related variables – product type and product involvement on the relationship between shelf-based scarcity (SBS) and purchase intention.

The authors used four 2 × 2 between-subject experiments to test the proposed moderation.

Results from the four experimental studies provide the following insights. SBS enhances customers’ purchase intentions for utilitarian products and decreases purchase intentions for hedonic products. The positive influence of SBS cues on purchase intentions is more pronounced for low-involvement products than for high-involvement products. Perceived popularity and perceived quality mediate the relationship between SBS and perceived consumption risk for utilitarian products but not hedonic products.

This study builds on prior research on scarcity by investigating the impact of product-related factors on the SBS-purchase intention relationship through the elaboration likelihood model.

The results suggest that retailers benefit from using SBS cues for utilitarian and low-involvement products to increase purchase intention. Retailers can avoid SBS cues for hedonic products to prevent them from seeming commonplace. Furthermore, retailers can boost purchase intentions by highlighting the popularity and quality of utilitarian and low-involvement products.

To the best of the authors knowledge, this is the first study to examine the interaction between SBS and product-related attributes, along with the serial mediation of perceived popularity, quality and consumption risk.