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The purpose of this study is to explore and compare how fashion and apparel brands are using the multiple available channels to increase the number of touchpoints with clients by evaluating the use of multichannel and omnichannel strategies.

To determine the differences between fashion and apparel brands in terms of marketing channel used, a multiple case study approach was selected based on a sample of nine well-known and successful fashion brands from three different price segments. The research was carried out by analysing the online and mobile presence of the brands, company reports, news, magazines, and other types of articles.

The results illustrate that fashion brands tend to act in the same way and have only slight differences concerning the number of channels and features available to clients despite the price segment they belong. The findings indicate that the brands under study have good channel integration, order tracking, on-line communication, and social media. Overall, the findings allow concluding that irrespective of the price segment, all fashion brands act almost in the same way and present only slight differences between the number of channels used and features available.

The current study provides an innovative price-segmented comparison on channel use and integration by fashion brands' and additional valuable information about channel strategy that can be used to guide new comparative research and helps new brands defining points-of-parity and points-of-difference with regard to market standards.

This study aims to explore the adoption behaviour of consumers towards innovative technology products and services (ITPS).

A qualitative study using semi-structured in-depth interviews was conducted with 47 respondents. Their lived experiences across 50+ ITPS were studied. A grounded theory approach was used to develop a theory with reference to consumer adoption of ITPS.

Themes emerged across the adoption process, such as triggers for adoption (pressing need, making life more pleasurable, urge to acquire and forced initiation); hesitancies faced by consumers during evaluation (value alignment, utilization, ecosystem, risks with new technology and price); and factors that help in overcoming the hesitancies (word of mouth, de-risking schemes and self-devised strategies).

Innovators must understand customer triggers and design offerings that activate the same – addressing a pressing need or making lives more pleasurable. Users driven purely by an urge to acquire can be a source of early word of mouth for radical innovations. Innovations must be designed and communicated to minimize hesitancies. Mitigating schemes such as equated monthly installment and return policy can be offered to empower customers to overcome hesitancies. Factors such as price, risk, beliefs, traditions and nationalistic values assume importance, specifically in an emerging economy.

This study based on grounded theory keeps the user at the centre and explains the innovation adoption phenomenon for a wide variety of 50+ ITPS in the context of an emerging economy.

Purpose: In this technologically advanced era, it is crucial to understand how consumers adopt innovations so that producers and marketers can cater to these needs effectively. While existing technology adoption models have good explanatory power, a hybrid model must account for newer contexts.

Need for the Study: Most technology adoption papers in extant literature deal with the phenomenon’s functional, environmental and cognitive aspects. However, a mindset-oriented approach is largely absent from current studies. Mindsets are core beliefs people have about the malleability of human traits and characteristics that ultimately shape consumer behaviour. Investigating the adoption of such technologies through a deeper psychological lens will advance the field substantially.

Methodology: This conceptual paper utilised a literature review and theoretical integration to present a novel technology adoption model. The literature review of secondary data helped identify extant gaps, while academic integration of major concepts helped fill said gaps.

Findings: Based on the existing gaps in the literature, this study conceptualised a novel technology adoption model based on the foundation of Mindset Theory. Overall, relevant constructs, variables and scales have been presented along with future research propositions.

Practical Implications: From a global perspective, the findings of this chapter will enable marketers and practitioners to understand consumer adoption of new-age technologies. Producers of such technologies will also be able to cater to consumers more efficiently as a result of this study.

This paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).

The study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.

Results indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.

The results may be limited to the context of the sample and the factors considered. The study suggests future research areas.

The paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.

The study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.

An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.

The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.

The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.

This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.

The conception of markets as interfaces connecting semi-autonomous systems of producers and customers has led to an extensive use of social network analysis. So far, the network focus has been on connections among people, paying less attention to the crucial role played by connections between cultural elements (e.g., concepts, representations, ideas) in the way markets are formed and sustained. Such connections constitute “semantic networks” and are the focus of the present article. We attend to them by developing a network view of the cultural dimension of markets and apply it in an empirical setting where culture plays a crucial role – luxury watchmaking – to illustrate the impact of market semantic networks on a major outcome: price.

This chapter provides an insider perspective on the Quantified Self (QS) community. It is argued that the overall approach and methods used in the QS community have not been adequately described. Consequently, the aim of the chapter is to give an account of the work performed by self-trackers in what we coin the 1-Person-Laboratory (1PL). Additionally, the chapter describes other aspects of the 1PL, for example the methods, procedures and instrumentation that are being used and the knowledge sharing taking place in the QS community. With a point of departure in empirical cases it is demonstrated how QS self-trackers put their own questions, observations and subjective experience front and centre by using their own instrumentation and data sets in their personal laboratories. In the 1PL, the causalities that are looked for are not aimed at generalisation to an entire population; on the contrary, the causal connections on the level of the person are essential for discovery by the individual.

Most empirical studies of m-banking seek to understand the factors and motivations that influence the adoption or behaviour intention. The purpose of this paper is to focus on analysing and synthesising existing studies and make recommendations to researchers and practitioners.

Few papers focus on the m-banking use and individual performance, but on the determinants of adoption measures, instead. This research examines 64 journal articles published between 2002 and 2016 in top journals. Following a comprehensive review of the literature, the authors propose a research agenda.

The importance of use and individual performance has long been recognised by academics and practitioners in a variety of functional disciplines. The present review indicates that the topics of m-banking adoption and behavioural intention dominate the majority of research, but finds very few studies on post-adoption. The two most significant drivers of intentions to adopt m-banking are perceived ease of use and perceived usefulness. Considering several m-banking definitions, the authors propose a new, broader definition that takes into account the technological changes that have occurred over time. m-banking is a service or product offered by financial institutions that makes use of portable technologies.

This paper assembles this diverse body of knowledge into a coherent whole. The authors expect that this review will be of benefit to anyone interested in m-banking research and that it will help to stimulate further interest. In order to advance research in m-banking, future research should consider other theories uncovered in our findings.