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The purpose of the study is to develop a structural and a predictive model of the future purchase behavior of the consumers from value, quality and satisfaction and also finding the role of consumer loyalty in the above-mentioned model.

Based on survey and purchase data of a sample of 235 respondents, the authors have used structural equation modeling to develop a structural model and three-stage least square regression to develop and validate the predictive model.

In the structural model, the authors found that perceived service quality and network quality leads to customer satisfaction which also leads to loyalty intentions. However, neither past purchase behavior nor loyalty has significant predictive power to predict future usage. But the interaction effect of loyalty and past purchase predicts future purchase significantly.

The study went beyond structural model and developed a behavioral predictive model which can overcome self-reporting bias. Also, the study focused on the moderating role of loyalty in predicting future purchase quantity, thus contributing toward the theoretical understanding of the effects of loyalty.

Other than providing a forecasting model, the study helps the service managers to understand the importance of the relational constructs than the tangible constructs. Moreover, it also suggests optimally target the big buyers through the loyalty programs to ensure higher future revenues.

The study provides new insight on the impact of loyalty intention of consumer’s purchase behavior and shows the boundary conditions of predictive power of loyalty intention and past purchase on future purchase. Moreover, this is one of the very few studies that have focused on these relationships in Indian context.

Continued usage of information systems (ISs) is highly critical to a firm’s sustained success. The expectancy-disconfirmation framework has been effective in explaining continuance. However, our own experiences suggest that we may continue using an IS despite low satisfaction. One of the reasons is that the prediction of future user intent in existing models is predominantly retrospective. The purpose of this paper is to address this gap by incorporating forward-looking considerations into the expectancy-disconfirmation model.

A questionnaire survey was conducted for two types of mobile applications: photo-sharing and note-taking, and 593 valid responses were collected. The partial least squares method was employed for structural model analysis for each type of applications.

The well-entrenched expectancy-disconfirmation model was empirically verified. This study further shows that the influence of satisfaction on continuance intention is higher when hope for the future of a mobile application is stronger, and vice versa, after controlling for the impact of past usage behaviour. In addition, hope is found to be induced by appraisals of perceived usefulness and importance of a mobile application.

This study demonstrates that the expectancy-disconfirmation model can be enhanced with considerations of future outcomes. It shows that emotions such as hope are inherent to continuance decisions. Moreover, it goes beyond the valence dimension of emotions and identified specific antecedents of hope based on the appraisal theory.

The purpose of this paper is to establish what foresight is, to review past usages and definitions of foresight and to synthesize them into one generic definition, in order to make the concept measurable.

A discussion on how to classify variables in the social sciences serves as the starting‐point. Next, a review of past definitions and usages of the concept foresight is followed by further analysis and then synthesizing of the generic definition. The generic definition is finally compared and contrasted with the related concepts of forecasting, strategic analysis, and intuition.

Foresight is defined as behavior along three dimensions: degree of analyzing present contingencies and degree of moving the analysis of present contingencies across time; degree of analyzing a desired future state or states a degree ahead in time with regard to contingencies under control; and degree of analyzing courses of action a degree ahead in time to arrive at the desired future state.

The article makes foresight quantitatively measurable, which in turn makes it possible to empirically measure the existence of foresight among managers and to test the relationship between foresight and organizational performance.

Practical foresight tools and programs, etc. can now be assessed and compared by both practitioners and researchers.

In identifying three fundamental behavioral dimensions of foresight, the article conceives and advances foresight as a distinct concept that can be related to several research areas, both on individual (e.g. managerial) and organizational levels.

This study investigates how individuals' self-awareness (specifically, private and public self-awareness) and environment-awareness (perceived expertise, similarity and familiarity) shape herd behavior, encompassing discounting one’s information and imitating others. Drawing from latent state-trait theory, this research aims to discern the impact of these factors on purchase intention and behavior.

Longitudinal data from 231 users in Xiaohongshu, China’s leading social commerce platform, were collected to test the proposed model and hypotheses.

The findings from this study show that private self-awareness negatively influences discounting one’s own information and imitating others. Public self-awareness positively affects imitating others, while it does not affect discounting one’s own information. Perceived expertise diminishes discounting one’s own information but does not significantly affect imitating others. Perceived similarity and perceived familiarity are positively related to discounting one’s own information and imitating others. The results confirm different interaction effects between self-awareness and environment-awareness on herd behavior.

First, this contributes back to the latent state-trait theory by expanding the applicability of this theory to explain the phenomenon of herd behavior. Second, this study takes an important step toward theoretical advancement in the extant literature by qualifying that both self- and environment-awareness should be considered to trigger additional effects on herd behavior. Third, this study provides a more enlightened understanding of herd behavior by highlighting the significance of considering the interplay between self- and environment-awareness on herd behavior. Finally, this study also empirically confirms the validity of classifying self-awareness into private and public aspects.

This study aims to investigate the determinant factors as barriers and facilitators of the B2B degree of digital use and customer–brand engagement in travel services by applying technology and behavioral theories.

A face-to-face survey was administered to retail travel agencies offering offline and online services (N = 301). Structural equation modeling using the partial least square method was conducted using Smart PLS 3.0 software to examine the proposed hypotheses in the research model.

The results revealed that the integrated composite model significantly predicts the B2B degree of digital use and brand engagement. The study established that facilitators had positive effects, and barriers negatively impacted the degree of digital use, which positively impacted brand engagement. However, the facilitator perceived cost and barrier lack of critical mass showed the opposite influence. The effects of facilitator customer pressure and barriers, information and communication technology infrastructure problems and security risks were insignificant. The results also established that the buyer firm size moderated the relationships between barriers and facilitators with the degree of digital use.

This study combined technology and behavioral theories to explain the buyer–seller relationship. The expanded framework contributed to understanding B2B digital usages and brand engagement in the seller–intermediary relationship. This study conceptualized firm size as a contingency variable and established its moderating effect. The study defined cost as a formative construct and an organizational factor. The study suggested practical implications for travel agencies and online travel service sellers.

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve sustainable competitive advantage. The purpose of this paper is to investigate what and how the user attitude to change influences members' behavioral support for incremental technological change in mobile social media service.

Using the tripartite model of attitude, this study examines the influence of the cognitive aspect (empowerment with change), affective aspect (arousal with change) and behavioral aspect (habit to change) of attitude toward change on members' behavioral support for incremental technological change. Drawing on the commitment to change theory, we assessed the underlying mechanism by which attitudes toward change influences behavioral support for incremental technological change through the two components of commitment to change (i.e. affective and normative commitment to change). We tested the model using structural equation modeling on the data collected from the popular mobile social media services in China.

Our results indicate that the effect of empowerment with change, arousal with change and habit to change varies with different dimensions of commitment to change and significant influence of commitment to change on members' behavioral support for incremental technological change.

The findings of this study contribute to better insights for services providers for implementing incremental technological change strategies.

This study contributes to the theory of incremental technological changes by empirical examination of the impacts of users' attitudes toward change on members' behavioral support for incremental technological change in mobile social media. The paper extends the commitment to change theory with the discussion of the mediating effect of commitment to change in the continuing members' behavioral support for incremental technological change in mobile social media.

This paper aims to investigate the effects of gender, age and education on new technology implementation in Saudi Arabia, a technologically developing country, using the Theory of Planned Behavior (TPB).

The research was an empirical investigation based on surveys completed by 1,088 Saudi knowledge workers.

The TPB model performs well in Saudi Arabia. This validation accounts for 37 percent of the variance in behavioral intention among Saudi knowledge workers. For the moderator variables, there were no statistically significant interactions, with the exception of the moderation of perceived behavioral control on behavioral intention by level of education.

Saudi Arabia is an exemplar for many developing nations characterized by distinct intellectual and cultural traditions that differ from Western cultures. Demographic variables (e.g. gender and age) that have been reported to be significant moderators of the influences of attitude, subjective norm and perceived behavioral control on behavioral intention in other cultural samples were found to be non‐significant in this Saudi Arabian sample.

System developers using user‐centered design approaches have different design criteria for the successful workforce adoption of information technology (IT) systems in a technologically developing nation, as compared to the workforce of a technologically developed nation.

This paper validates TPB as a multi‐cultural model for investigating the impact of attitudes, beliefs, and subjective norms on technology adoption, and, in contrast to previous studies, indicates the (non)effects of select demographic moderators on the model using a non‐Western sample.

This paper aims to examine communication channels for in‐home service provision. In particular, it aims to focus on the joint effect of two converging trends: the increase of in‐home services involving high degrees of customer participation;and the extension of the number of channels that service firms use to communicate with customers. It seeks to assess which benefits customers desire of communication channels across in‐home service production formats and how these benefit desires determine their communication channel consideration for in‐home services.

Based on a literature review a conceptual framework was constructed. Using the association pattern technique (APT), a survey of 383 customers of a Dutch energy company was carried out. The APT enabled the authors to quantify the relationship between participative in‐home service provision situations, desired communication channel benefits, and communication channel consideration.

Results show that customers focus more strongly on functionally‐ and economically‐oriented communication channel benefits in high customer participation service formats. In contrast, socially‐oriented communication channel benefits seem more appropriate when low customer participation in the provision of in‐home services is involved. The match between benefits desired by the customer and benefits provided by a communication channel is identified as a central mechanism behind communication channel consideration for in‐home services. Furthermore, evidence is found for customer heterogeneity in desired communication channel benefits and channel consideration, based on age, education, and past channel usage.

This paper contributes to the multichannel knowledge base by hypothesizing and demonstrating how specific benefit desires arise from allowing/requiring customers to participate in in‐home service provision. The study also provides valuable insight into the mechanism behind communication channel consideration by customers during in‐home service provision.

The focus of this paper is a survey of web‐mining research related to areas of societal benefit. The article aims to focus particularly on web mining which may benefit societal areas by extracting new knowledge, providing support for decision making and empowering the effective management of societal issues.

E‐commerce and e‐business are two fields that have been empowered by web mining, having many applications for increasing online sales and doing intelligent business. Have areas of social interest also been empowered by web mining applications? What are the current ongoing research and trends in e‐services fields such as e‐learning, e‐government, e‐politics and e‐democracy? What other areas of social interest can benefit from web mining? This work will try to provide the answers by reviewing the literature for the applications and methods applied to the above fields.

There is a growing interest in applications of web mining that are of social interest. This reveals that one of the current trends of web mining is toward the connection between intelligent web services and societal benefit applications, which denotes the need for interdisciplinary collaboration between researchers from various fields.

On the one hand, this work presents to the web‐mining community an overview of research opportunities in societal benefit areas. On the other hand, it presents to web researchers from various disciplines an approach for improving their web studies by considering web mining as a powerful research tool.

The purpose of this paper is to present an empirical comparison between the recommendations generated by a citation-based recommender for research articles in a digital library with those produced by a user-based recommender (ExLibris “bX”).

For these computer experiments 9,453 articles were randomly selected from among 6.6 M articles in a digital library as starting points for generating recommendations. The same seed articles were used to generate recommendations in both recommender systems and the resulting recommendations were compared according to the “semantic distance” between the seed articles and the recommended ones, the coverage of the recommendations and the spread in publication dates between the seed and the resulting recommendations.

Out of the 9,453 test runs, the recommendation coverage was 30 per cent for the user-based recommender vs 24 per cent for the citation-based one. Only 12 per cent of seed articles produced recommendations with both recommenders and none of the recommended articles were the same. Both recommenders yielded recommendations with about the same semantic distance between the seed article and the recommended articles. The average differences between the publication dates of the recommended articles and the seed articles is dramatically greater for the citation-based recommender (+7.6 years) compared with the forward-looking user-based recommender.

This paper reports on the only known empirical comparison between the Ex Librix “bX” recommendation system and a citation-based collaborative recommendation system. It extends prior preliminary findings with a larger data set and with an analysis of the publication dates of recommendations for each system.