Pratibha Singh

Bio: Pratibha Singh is an academic researcher from Guru Gobind Singh Indraprastha University. The author has contributed to research in topics: Social media & Marketing. The author has an hindex of 3, co-authored 4 publications receiving 16 citations.

E-Grocery Retailing Mobile Application: Discerning Determinants of Repatronage Intentions in an Emerging Economy

Abstract: The study attempts to identify the influential antecedents of customer satisfaction and repatronage intentions in the context of e-grocery retailing through mobile applications. Literature survey b...

Instagram Advertising among Young Consumers in Wearable Fitness Trackers: The Moderating Role of Technology Acceptance Factors

Abstract: The main focus of research studies assessing consumers’ attitudes toward advertising has shifted to social media platforms, replacing traditional advertising. In this regard, Instagram is considere...

Gender differences in the wearable preferences, device and advertising value perceptions: smartwatches vs. fitness trackers

Abstract: Choosing the right wearable device (e.g., smartwatch and fitness tracker) for one's wrist can put consumers in a dilemma, especially in the market of abundant options. Further, the proliferation of social media has profoundly changed the practice of advertising, making the communication of wearable messages more interactive than ever before. This paper examines the gender differences in their preferences toward wearable devices (e.g., smartwatches vs. fitness trackers). This study also investigates the joint effect of device value and advertising value on consumers' intention to adopt wearable devices, with gender serving as a moderator variable. Amidst the socio-technical ecosystem of wearable devices and social networking site (SNS), gender is the most prominent demographic variable used for targeted advertising to ensure effectiveness. Data collected from 217 generation Y Indian Facebook users suggests that males preferred smartwatches and females preferred fitness trackers. The results revealed that the devices' performance expectancy and the entertainment value derived from Facebook advertising are positively related to consumer's intention to adopt the wearable devices. In particular, the relationship between privacy concerns about the advertising on behavioural intention is moderated gender.

Drivers of satisfaction and usage continuance in e-grocery retailing: a collaborative design supported perspective

Abstract: PurposeThe purpose of the study is to identify the key antecedents relating to the interaction design of the e-groceryretail mobile applications and offer innovative marketing interventions to facilitate consumer–brand interaction and generate continuous usage intention.Design/methodology/approachData were collected from the subjects using a personally administered questionnaire by adopting a non-probability method. The target respondents of this study were individuals who are users of smartphone and have purchased groceries through mobile applications at least once in two months. On the basis of responses received, a sequential predictive analytic method that includes structural equation modelling (SEM) and artificial neural network (ANN) techniques were employed.FindingsThe findings of the study highlighted the critical role of collaboration design in harbouring satisfaction and maintaining a regular clientele for e-grocery applications by confirming the presence of complementary mediation. Such validated proposition and tested research model backed by significant methodological rigour advances the research based on post-acceptance behavioural affordances in interactive marketing literature.Originality/valueThe study endeavours to understand users' post-acceptance behaviour by analysing the contemporary factors relating to the interaction design of the platform in terms of mobile application attributes that would drive user patronage intentions. Further, the study highlights the pioneering role of collaboration design for e-grocery retailers, as the recent alliances among strategic players to achieve synergistic business leadership have proven to be a game-changing evolution in the industry.

Understanding Social Media

Abstract: Includes descriptive metadata provided by producer in MP3 file: "Science and Technology - Podcasts - Understanding Social Media" Lacy Tite describes how to use Facebook, Flickr and other social media

Social Media Content and Product Co-Creation: An Emerging Paradigm

Abstract: Purpose – The purpose of this paper is to conceptualise and discuss the possible insights that can be generated for product development by analysing the user-generated content available from various social media platforms.Design/methodology/approach – The paper reviews the role of user generated content in developing products and its features (e.g. appearance and shape). It delineates the directions in which the relationship between social media content and customer oriented concepts evolve while developing successful new products.Findings – The review and arguments presented in this paper suggest that the social media approach adds more value than the traditional approaches for obtaining insights about the products. Availability of users’ opinions and information about existing products provide insights for the improvement in the product design process. Co-creation and self-construal are important components that are based on customer engagement and customer behaviour, respectively, in the product design and development.Practical implications – As social media creates new ways of communication with users, businesses can include users into the product development process to improve and refine their products or for making the next generation of products.Originality/value – This paper suggests a new approach in getting useful insights about the products from user-generated contents. This way of using social media helps businesses to move forward from the traditional product development paradigms.

Using Customer-related Data to Enhance E-grocery Home Delivery

Abstract: Purpose: The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s absence causes significant loss of logistics efficiency, especially for perishable food. This paper proposes an innovative approach to use customer-related data to optimize e-grocery home delivery. The approach estimates the absence probability of a customer by mining electricity consumption data, in order to improve the success rate of delivery and optimize transportation. Design/methodology/approach: The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation. Findings: Computational experiments reveal that the proposed approach could reduce the total travel distance by 3% to 20%, and theoretically increase the success rate of first-round delivery approximately by18%-26%. Research limitations/implications: The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics. Practical implications: This study gives an insight to e-grocery retailers and carriers on how to use customer-related data to improve home delivery effectiveness and efficiency. Social implications: The proposed approach can be used to reduce environmental footprint generated by freight distribution in a city, and to improve customers’ experience on online shopping. Originality/value: Being an experimental study, this work demonstrates the effectiveness of data-driven innovative solutions to e-grocery home delivery problem. The paper provides also a methodological approach to this line of research.