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This study aims to empirically examine the factors that affect mobile loyalty (m-loyalty) and its influence on customer reuse intention towards mobile instant messaging services. This study identified measurement items to assess the business users and individual users reuse intention towards mobile instant messaging services and test the relationship in the conceptual model. This study bridges a literature gap focusing on m-loyalty and its impact on customer reuse intention, which has not received attention previously.

To evaluate the influence of the factors, this study identified and extracted the items from past literature to develop the survey instrument. This study surveyed 600 respondents including business users and individual users from the Delhi-National Capital Region of India and applied the structural equation modelling to test the conceptual model.

The results revealed that satisfaction and m-loyalty have a direct effect on the business users and individual users’ reuse intention of mobile instant messaging services. This study found that satisfaction, usability, perceived value, commitment, trust and m-loyalty influence on business users reuse intention. This study indicate that enjoyment has an insignificant relationship on m-loyalty for business users followed by usability and enjoyment has an insignificant relationship on m-loyalty for individual users. Further, female gender does not moderate the relationship between satisfaction and business users reuse intention. The cognitive absorption and the unified theory of acceptance and use of technology (UTAUT) theories supported evaluating the association between the factors in the context of business and individual users reuse intention of mobile instant messaging service.

The empirical findings imply that all the factors except enjoyment have directly influenced the business users reuse intention of mobile instant messaging. The significant influence of usability factor on the business users reuse intention towards mobile instant messaging is the major variation between the validated models of business and individual samples. The results of influencing factors of m-loyalty and its impact on customer reuse intention are associated with cognitive absorption and the UTAUT theories.

Focus on these factors can be beneficial for the business users, managers, mobile instant messaging service providers and application developers to increase customer loyalty and reuse intention for the mobile instant messaging services. This research will facilitate mobile instant messaging service providers to keep their services market relevant and focus on user satisfaction in building applications for loyalty.

This research identified measurement items from earlier literature to identify, analyze and verify the relevance of these factors in m-loyalty and customer reuse intention of mobile instant messaging services and fill the gap in customer reuse intention of mobile instant messaging services literature.

Digital natives constitute a substantial part of consumers nowadays. Yet, a theoretical understanding of the factors driving their engagement with new-age digital services is lacking. This study therefore aims to examine digital natives’ continuance usage of the proliferating over-the-top (OTT) services. To address these objectives, the study uses a comprehensive model that primarily integrates perceived value, cognitive absorption and customer brand engagement theories.

Data were collected using an online personal questionnaire targeting active digital natives OTT service users using the online software tool SurveyMonkey. A sample of 1,415 digital natives was analysed using structural equation modelling.

The findings indicated that continuance usage is predicted by all three theories. The results illustrate that cognitive absorption and customer brand engagement are the most critical in enhancing continuance usage. Gender effects on digital natives’ value perceptions were found. The model explains 57% of the variance in users’ continuance usage.

The study adds valuable contributions to the existing literature that are relevant to digital natives’ engagement with new-age digital services. The proposed integrated model and the role of gender in value formations provide managers with novel insights when designing effective strategies to increase continuance usage for the largest consuming generation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2022-0133

The purpose of this paper is to highlight the motivation for firms in emerging economies to engage in constraint absorption. It illustrates the mechanisms that enable business group (BG) affiliated firms to manage interdependencies vis-à-vis standalone firms in emerging economies.

The propositions outlined in this study are rooted in the theoretical lens of resource dependence theory (RDT). The authors integrate RDT with the resource-based view and institutional theory to explain the effect of BG affiliation on the relationship between the two types of interdependence (i.e. mutual dependence and power imbalance) and the likelihood of constraint absorption.

This paper theorizes that BG affiliation influences the relationship between mutual dependence/power imbalance and the likelihood of constraint absorption. However, if both the firms in a dyad are affiliated to a BG, the likelihood of constraint absorption is likely to be low owing to a process called “co-optation” even if mutual dependence or power imbalance between the firms is high.

This paper highlights how BG affiliated firms are better at managing contingencies in the external environment vis-à-vis standalone firms. This paper also advises managers that the type of organizational form is an important factor to be considered while engaging in constraint absorption in an emerging economy.

H₂O, CO₂ and CO are three main species in combustion systems which have high volume fractions. In addition, soot has strong absorption in the infrared band. Thus, H₂O, CO₂, CO and soot may take important roles in radiative heat transfer. To provide calculations with high accuracy, all of the participating media should be considered non-gray media. Thus, the purpose of this paper is to study the effect of non-gray participating gases and soot on radiative heat transfer in an inhomogeneous and non-isothermal system.

To solve the radiative heat transfer, the fluid flow as well as the pressure, temperature and species distributions were first computed by FLUENT. The radiative properties of the participating media are calculated by the Statistical Narrow Band correlated K-distribution (SNBCK), which is based on the database of EM2C. The calculation of soot properties is based on the Mie scattering theory and Rayleigh theory. The radiative heat transfer is calculated by the discrete ordinate method (DOM).

Using SNBCK to calculate the radiative properties and DOM to calculate the radiative heat transfer, the influence of H₂O, CO₂, CO and soot on radiation heat flux to the wall in combustion system was studied. The results show that the global contribution of CO to the radiation heat flux on the wall in the kerosene furnace was about 2 per cent, but that it can reach up to 15 per cent in a solid fuel gasifier. The global contribution of soot to the radiation heat flux on the wall was 32 per cent. However, the scattering of soot has a tiny influence on radiation heat flux to the wall.

This is the first time H₂O, CO₂, CO and the scattering of soot were all considered simultaneously to study the radiation heat flux in combustion systems.

Interactive mobile technologies (IMT) offered to hotel guests during their stay represent an interesting development in consumer technologies in the hotel industry. Such technologies are designed to facilitate transactions and enhance the quality of guest experience. This research explains how hotel guests develop attitudes and intentions to use IMT in hotels. The paper aims to discuss these issues.

Using data from students enrolled in a large hospitality program located in the Southwestern USA, the study validates a variant of the technology acceptance model, extended with constructs such as cognitive absorption and security that capture better the context of IMT in hotels.

The conceptual model explained a large part of variability in intentions to use IMT. Among several predictors, cognitive absorption was the stronger predictor of attitudes. The analysis also revealed the dimensions of cognitive absorption as a second-order factor in the context of mobile commerce in the hotel industry.

This research offers a number of notable theoretical contributions. First, it provides an unique perspective on adoption of immersive technologies that enhance the experiential value of the hotel stay. Second, it revisits and validates the multidimensional construct of cognitive absorption. Finally, it ascertains the roles of cognitive absorption, playfulness, and security in the adoption of IMT.

This research provides specific suggestions to integrate IMT in hotels based on system characteristics and users’ perceptions.

To date, the research examining the immersive aspects of technology is scant. This research provides a novel platform for the systematic examination of the adoption of immersive technologies as they mediate the experiences in hotel service settings.

Frontline employees face constant emotional demands in the course of providing services to their customers, which can impact job engagement. This study aims to investigate the influence of emotional labor (surface and deep acting) and job resources (having a mentor and availability of expressive emotional network resources) on employees’ customer orientation and their relationship to three dimensions of job engagement: vigor, absorption and dedication.

Using data collected from food service providers, a conceptual model based on the job demands–resources theory is developed and tested.

Findings show that having a mentor and expressive emotional network resources increases customer orientation, which in turn increases vigor, absorption and dedication. However, surface acting negatively affects customer orientation, which indirectly reduces job engagement.

Consistent with the main tenet of the job-demands and resources theory, it was found that surface acting reduces engagement, whereas job resources (expressive emotional network resources and mentorship) boost engagement. Moreover, the results suggest that the commercialization of human feelings still remains an important topic for service providers to consider during service interactions because its presence affects frontline service employee engagement levels.

Contingency models have enabled researchers to develop system‐based decision‐making approaches to organizational studies. Two contingency decision‐making models ‐ rational and political choice ‐ have been applied to identify those organizational characteristics and strategic leadership qualities associated with acquisitive growth through “absorption” and “diversification”. A study of the International Telephone and Telegraph Company (ITT) organizational growth strategies from 1920 to 1997 reveals that senior managers adopt the rational decision‐making model when organizational growth through acquisition involves absorption, and the political model when organizational growth calls for diversification. A contingency historical study of ITT demonstrates two important periods in ITT’s organizational life cycles ‐ one of growth (1920‐early 1970s) and one of consolidation/stability (from mid‐1970 to the present time). Contingency models indicate that differences in organizational growth strategies arise due to differences in environmental factors characterizing each period as organizations pass through several stages of growth in their life cycles.

A composite sentiment index (CSI) from quantitative proxy sentiment indicators is likely to be a lag sentiment measure as it reflects only the information absorbed in the market. Information theories and behavioral finance research suggest that market prices may not adjust to all the available information at a point in time. This study hypothesizes that the sentiment from the unincorporated information may provide possible market leads. Thus, this paper aims to discuss a method to identify the un-incorporated qualitative Sentiment from information unadjusted in the market price to test whether sentiment polarity from the information can impact stock returns. Factoring market sentiment extracted from unincorporated information (residual sentiment or sentiment backlog) in CSI is an essential step for developing an integrated sentiment index to explain deviation in asset prices from their intrinsic value. Identifying the unincorporated Sentiment also helps in text analytics to distinguish between current and future market sentiment.

Initially, this study collects the news from various textual sources and runs the NVivo tool to compute the corpus data’s sentiment polarity. Subsequently, using the predictability horizon technique, this paper mines the unincorporated component of the news’s sentiment polarity. This study regresses three months’ sentiment polarity (the current period and its lags for two months) on the NIFTY50 index of the National Stock Exchange of India. If the three-month lags are significant, it indicates that news sentiment from the three months is unabsorbed and is likely to impact the future NIFTY50 index. The sentiment is also conditionally tested for firm size, volatility and specific industry sector-dependence. This paper discusses the implications of the results.

Based on information theories and empirical findings, the paper demonstrates that it is possible to identify unincorporated information and extract the sentiment polarity to predict future market direction. The sentiment polarity variables are significant for the current period and two-month lags. The magnitude of the sentiment polarity coefficient has decreased from the current period to lag one and lag two. This study finds that the unabsorbed component or backlog of news consisted of mainly negative market news or unconfirmed news of the previous period, as illustrated in Tables 1 and 2 and Figure 2. The findings on unadjusted news effects vary with firm size, volatility and sectoral indices as depicted in Figures 3, 4, 5 and 6.

The related literature on sentiment index describes top-down/ bottom-up models using quantitative proxy sentiment indicators and natural language processing (NLP)/machine learning approaches to compute the sentiment from qualitative information to explain variance in market returns. NLP approaches use current period sentiment to understand market trends ignoring the unadjusted sentiment carried from the previous period. The underlying assumption here is that the market adjusts to all available information instantly, which is proved false in various empirical studies backed by information theories. The paper discusses a novel approach to identify and extract sentiment from unincorporated information, which is a critical sentiment measure for developing a holistic sentiment index, both in text analytics and in top-down quantitative models. Practitioners may use the methodology in the algorithmic trading models and conduct stock market research.

Introduction Contemporary marketing thought stresses that pricing decisions ought to be made within the context of the firm's entire marketing mix. Price is but one facet of a company's appeal to consumers and needs to be fully integrated with the physical product, its package, advertising, promotion, distribution and so on, in such a way as to enable it to complement, support and enhance every other component of the marketing mix. This means, among other things, that prices should be determined by reference to the market, set at levels which consumers are able, willing or can be persuaded to pay. In addition, the price he pays for a product should reinforce the consumer's judgement of its image and quality. Just as, according to the marketing concept, it is the buyer rather than the manager who defines the product and, thereby, the firm's business, so the meaning and level of the price at which the product changes hands should be decided ultimately by the attitudes and behaviour of consumers.

One of the impacts of the COVID-19 pandemic is that using an e-wallet – a contactless process – rather than a payment terminal is an intuitively safer option. This study is grounded in cognitive absorption theory and investigates how the use of the money-gift function influences the intention to continue using an e-wallet app.

Using a cross-sectional approach, a structured questionnaire was designed and distributed to the target respondents in Malaysia through social media platforms. The data were collected with purposive sampling and a total of 350 eligible responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Cognitive absorption significantly influenced the perceptions of e-wallet apps (perceived ease of use and perceived usefulness). The intention to continue using an e-wallet app was positively predicted by attitude and subjective well-being. Furthermore, this study found that the path between attitude and the intention to continue use was mediated by subjective well-being, whereas perceived security moderated the path between cognitive absorption and perceptions of an e-wallet app.

The results offer much-needed broad guidance for e-wallet service providers. In particular, the findings reveal how implementing money-gift functions promotes various positive outcomes that influence the intention to continue using an e-wallet app.

Previous research on e-wallets considered only the basic characteristics of an e-wallet app when studying continuous usage. Few studies have empirically examined the innovative function of money gifts. Therefore, this study is among the first to offer empirical insights into how immersion and cognitive interaction with the money-gift function can influence user perceptions and behavior toward e-wallet apps.