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In advanced societies, lifestyles are increasingly sedentary, and it is important to identify strategies to help people acquire healthy habits, such as exercise. The present study proposes the use of gamification as a strategy for encouraging users to exercise regularly, based on the possibilities offered by “smart” devices such as smartbands.

The work analyzes how individuals experience their participation in a gamification program, on the premise that it should provide an experience that is intrinsically motivating and fun. Also the moderator effect of the gender and age on the relationship between their experience of participating in a gamification program and perceived self-efficacy.

The results show that individuals' experience of participating in a gamification program exerts a positive influence on their perceived self-efficacy in the practice of sport or exercise. The study also finds that the variables “gender” and “age” moderate the relationship between their experience of participating in a gamification program and perceived self-efficacy, such that it exerts a greater influence on women and older people.

The practical implications for the professionals and institutions involved in promoting the adoption of regular sport and exercise in society are about taking advantage of the potential of wearable technology such as smartbands. The present study finds that the use of gamification for encouraging people to adopt regular physical activity is more effective for women than for men, and for older people than for younger users.

The findings of this study provide a better understanding of whether gamification is an appropriate strategy for helping participants to perceive themselves as having greater self-efficacy in their chosen sport or exercise, taking into account the moderating effect of participant gender and age.

Due to advances in both software and hardware, obsolescence risk refers to the fear that a product will soon become obsolete, which can be very high for technological products such as smartwatches or smartphones. Drawing on the perceived risk theory and innovation resistance, this study examines the effects of different obsolescence risks on consumer resistance to smartwatches.

A sequential explanatory approach using a mixed method was adopted in this study. In Study 1, we conducted semi-structured and in-depth face-to-face interviews with 16 individuals to identify the most important obsolescence risks affecting consumers’ resistance to smartwatches. This qualitative study develops a novel theoretical model based on interpretive results, including technological, economic, functional, and aesthetic obsolescence risks. In Study 2, we tested our theoretical model by applying partial least-squares structural equation modeling to a sample of 298 smartwatch users.

The results show that consumer resistance to smartwatches is affected by technological, economic, functional, and aesthetic obsolescence risks.

Although most extant studies have focused on the factors influencing the adoption and use of consumer electronics, little is known about the role of obsolescence risk in consumers’ resistance to these products.

The purpose of this paper is to understand what dimensions consumers prefer to track using wearable technology to achieve a healthier lifestyle and how these tracking dimensions are related.

An online survey was conducted with potential consumers in the USA, and a series of Pearson’s correlation and regression analysis and multiple regressions was conducted.

The most preferred self-tracking dimensions, tracking dimensions on others, most private tracking dimensions, most variable dimensions, and the dimensions that need to be improved were identified. The results of this study showed positive relationships overall among similar types of tracking dimensions, such as among dimensions of physical health condition (disease and disorder symptoms and general vital signs), mental health condition (stress level and mood/feeling), healthy lifestyle (fitness, and pose and posture), and productivity and task management (work productivity, location, and time management).

Designers are encouraged to make wearable technology products that are durable, easy to care for, attractive in design, comfortable to wear and use, able to track preferred dimensions, appropriate for various consumers, unobtrusive, portable, and small. This research will guide wearable technology and fashion industry professionals in the development process of wearable technology to benefit consumers by helping them be more self-aware, empowering them to develop a healthier lifestyle, and ultimately increasing their quality of life and well-being.

The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices.

An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model.

Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM.

Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

Based on the Mehrabian–Russell theory, the purpose of this paper is to view the attributes of advertorial information as a stimulus in an online environment to examine the emotional states of consumers and their sequential behavioral responses. Moreover, materialism is proposed as a moderator in the relationship between advertorial attributions and emotion.

By adopting a quantitative approach, 421 consumers with browsing forums or blog experience participated in the study. SEM techniques were adopted for the formal data analysis.

There was a causation found among control, arousal and pleasure. Advertorial attributes influenced the consumers’ emotional states via control, and emotional states directly affected the information acceptance and purchase intention. Materialism partially moderated the relationship between the advertorial information attributions and emotional states.

Advertorial editors should provide detailed product information with credible sources in a positive manner and should attach videos or interesting pictures to avoid boredom and attract reader attention, especially in the case of materialists. In addition, editors should also provide some related hyperlinks for consumers to stimulate their further reading and then should observe the number of clicks and shares to estimate the popularity of the advertorial, so adjustments can be made if necessary.

This paper confirmed the causation of pleasure, arousal and the validity of the dominance (PAD) emotional model and found a partially moderating effect of materialism on the relationship between the attributes of advertorials and the emotional states of consumers.

Corporate Strategy; Strategy.

Post-graduate; Executive education; Under-graduate.

The case is based on Titan Company Limited (Titan), one of India’s profitable diversified companies. Set in April 2020, the case presents the evolution of Titan’s growth strategy in the last three decades. The company had grown by continuously exploring adjacent categories in the personal lifestyle space. The case asks whether the strategy that has guided Titan for the past three decades would continue to provide growth. What changes, if any, should be made by C.K. Venkataraman—the new CEO who had taken charge a few months back in October 2019—and his team?

The case describes Titan’s evolution from 1987 to 2020. ‘Winning times’, the first section of the case, describes Titan’s early choices in the watches business that helped the company achieve market dominance and its successive choices to expand the scope of watches businesses by entering new adjacencies. The section also details the evolution of Titan’s design, manufacturing, marketing and retailing capabilities in early years. ‘Looking for another gem’ describes Titan’s venture into the jewellery business – the failure of its early attempts to export and its pivot to domestic market and the successful turnaround of the business. ‘On the fast track to growth’ deals with Titan’s accessories business. The section ‘Eyeing new businesses’ describes Titan’s foray into prescription eyewear and precision engineering businesses and the company’s performance in these businesses. ‘A new identity’ details Titan’s adoption of a distinct corporate identity in 2013. ‘New businesses’ provides information on Titan’s recent foray into fragrances and sarees business. The case ends with the section ‘Years ahead’ which asks what changes, if any, should be made by the leadership team.

Upon completion of the case study discussion, participants will be able to: understand the concept of the ‘core competence’ and the three tests of core competence; how core competencies evolve in an organization over time; diversification (growth) strategy based on core competencies and adjacencies; and key managerial choices and organizational processes required to ensure effectiveness of diversification strategy based on core competencies.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of this paper is to detect the existence of unknown wireless devices which could result negative means to the privacy. The perceptual layer of internet of things (IoTs) suffers the most significant privacy disclosing because of limited hardware resources, huge quantity and wide varieties of sensing equipment. Determining whether there are unknown wireless devices in the communicating environment is an effective method to implement the privacy protection for the perceptual layer of IoTs.

The authors use horizontal hierarchy slicing (HHS) algorithm to extract the morphology feature of signals. Meanwhile, partitioning around medoids algorithm is used to cluster the HHS curves and agglomerative hierarchical clustering algorithm is utilized to distinguish final results. Link quality indicator (LQI) data are chosen as the network parameters in this research.

Nowadays data encryption and anonymization are the most common methods to protect private information for the perceptual layer of IoTs. However, these efforts are ineffective to avoid privacy disclosure if the communication environment exists unknown wireless nodes which could be malicious devices. How to detect these unknown wireless devices in the communication environment is a valuable topic in the further research.

The authors derive an innovative and passive unknown wireless devices detection method based on the mathematical morphology and machine learning algorithms to detect the existence of unknown wireless devices which could result negative means to the privacy. The simulation results show their effectiveness in privacy protection.

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.

The purpose of this study is to examine the development of service quality research in hospitality and tourism from 1984 to 2014, to identify research gaps and to suggest directions for future research.

This review comprised three steps with the first being the generation of a structural map by using the online pathfinder network (PFNET) to identify potential research themes. The second research step involved an online literature search covering 2,211 academic journal articles to obtain basic information for planning an additional content investigation concerning the research themes. The final step was to investigate the content of the articles published in top-tier journals or frequently cited ones in three different stages (1984-1993, 1994-2003 and 2004-2014) to explore potential research topics.

The study identifies 17 research themes that comprise two main research themes, seven sub-stems, six outer-leaves and two little-leaves. The developments of service quality research in each theme are explored. The role of each theme in service quality study is revealed. Finally, this study identifies research opportunities for service quality research within each theme.

This study demonstrates how to use PFNET to effectively perform a systematic literature review. By referring to previous publications reviewed in this study, researchers can contribute by extending existing theories in their further research on the seventeen themes.

This study contributes a systematic literature review method by applying an online PFNET approach, provides a well-researched list of references for researchers conducting service quality research and highlights research gaps for researchers who plan to pursue service quality research.

Consumers' perceptions of product intelligence affect their willingness to accept smart offerings. This paper explores how people perceive various smart products based on their smartness profiles, composed of five distinct smartness facets. Additionally, the study investigates how these perceptions of product intelligence impact consumers' evaluation of factors that either promote or impede the adoption of smart products. These factors are examined as potential mediators in the adoption process. This paper aims to determine if the value-based adoption model can be applied to a broad range of smart service systems.

Consumers assessed one of 28 smart products in a scenario-based quantitative study. Multilevel structural equation modeling (SEM) is used to test the conceptual model, taking the nested data structure into account.

The findings show that product smartness essentially enhances usage intention via adoption drivers (enjoyment and usefulness) and reduces usage intention via adoption barriers (intrusiveness). In particular, the ability to interact in a humanlike manner increases the benefits consumers perceive, which in turn increases consumer acceptance. Only the smartness characteristic of awareness impairs usage intention, mediated by the perceived benefits of enjoyment and usefulness.

In contrast to previous research, which usually focuses on single smart products, this work examines a variety of different products, which allows for better transferability of the results to other smart offerings. Furthermore, prior research has mainly focused on single facets of product smartness or researched smartness on an aggregated level. By considering the consumer perception of each smartness facet, the authors gain deeper insights into the perceptual differences regarding product smartness and how this affects technology adoption via conflicting key acceptance drivers and barriers.