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The purpose of this paper is to investigate the predictive factors of information seeking behavior of smartphone users from the cross-generational perspective. Based on existing literature, the two most popular types of information seeking behavior of smartphone users were determined: social information seeking behavior; and functional/cognitive information seeking behavior.

A questionnaire comprising 66 questions was administered online to 216 smartphone users of three age groups according to three generations: generation X, Y (millennials) and Z. Several predictive factors were examined for each of these information seeking behavior types: generation, gender, personality traits (the Big Five), daily usage time, period of ownership, various application utilization and the level of emotional gain from smartphones.

There is a trade-off between the two types of information seeking behavior. Also, men exhibited significantly more functional/cognitive information seeking behavior than women, and younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, significant differences in smartphone apps’ utilization, information seeking behavior types and their predictive factors were found among users from different generations. Extraversion was positively related to social information seeking behavior only for generations X and Y, while WhatsApp usage was one of the strongest predictive factors only for generation Z.

This research has practical implications for information system design, education, e-commerce and libraries.

This is a first study that systematically examines predictive factors of the two prominent types of information seeking behavior on smartphones from the cross-generational perspective.

The purpose of this study is to examine the relationships between the dimensions of the pre-purchase information search (PS) such as direction (reliance on the information sources-RIS) and pattern (reliance on the utilitarian value-RUV), moderating role of the online shopping experience (OSE), and their influence on the behavior of the socialization agents (family communication (FC), peer communication (PC), TV advertising-TVAdv, social media communication (SMC)) for buying branded apparel.

This study used a questionnaire, and a total of 458 responses were obtained. A measurement model with the dimensions of the pre-purchase information search and socialization agents was analyzed using confirmatory factor analysis. The conceptual model with hypotheses (direct and moderated effects) was analyzed using a moderated approach using Hayes Macros.

The findings confirm the significant influence of the dimensions of the PS (RIS and RUV) on the behavior of socialization agents for buying branded apparel with the strongest influence of RIS on SMC. The moderated effects of OSE between the dimensions of PS and socialization agents are found to be significant except for the relationship between RIS and FC. The direct effects of the RIS and RUV on the socialization agents are higher for consumers having high OSE and lower for consumers having low OSE.

The findings contribute to the growing body of literature on the PS, highlighting the importance of consumer socialization for the purchase decision of consumers in emerging markets. No previous studies have applied a psychological approach to explain the variation in the external search incorporating the dimensions like direction (RIS) and pattern (RUV), which did not receive research attention so far. This study uniquely sets a new direction for the researchers by establishing a theoretical linkage between the dimensions of PS that can act as antecedents and can significantly influence the behavior of socialization agents using the consumer socialization approach based on the social learning theory. The results reveal the strongest influence of SMC and establish the moderating role of OSE for the buying decision of branded apparel. The findings are valuable for online marketers who must acknowledge that social media is the strongest platform for reaching customers and must create a formal page for displaying their latest updates about their products and services. Marketers must engage all the family members through online contests and feedback sessions for developing trust for online shopping platforms.

The purpose of this study is to explore consumer innovativeness as a personality trait and addresses the hedonic, social, cognitive and functional motivational elements that lie behind consumer innovativeness. It explores the weak relationship between consumer innovativeness and really new product (novel innovation) adoption and challenges the classic relationship between consumer learning, attitude and intention.

This study adopts a quantitative approach, gathering survey data via an institutional online platform. A total of 300 participants were recruited. Participants were directed to a website presenting the information of the product with the inclusion of 2D and 3D images and an avatar. For data analysis, CFA and structural equation modelling (SEM) were used.

Results indicate a positive impact of attitude on comprehension and intention. In addition, hedonic innovativeness positively impacts customer's attitude, whereas there is a negative relationship between social innovativeness and attitude. Motivational elements of innovation, with the exception of hedonic motivation, positively influence purchase intention.

The main limitation of the study lies in the measurement of purchase intention, as actual purchases cannot be assessed as the products are not yet available. The findings encourage marketers to target innovators first, ideally innovators motivated by hedonic needs.

The findings encourage marketers to target innovators first, perhaps for a long-term, innovators motivated by hedonic needs, as they are the ones who change their attitude positively towards novel innovation when presented in an aesthetically pleasant manner.

This study challenges the classic theories identifying the link between comprehension, attitude and purchase intention within the field of innovation. The findings indicate that while interacting with really new products, comprehension does not necessarily lead to attitude and intention but attitude does positively influence both intention and comprehension.

This paper aims to provide empirical evidence of relationship between perceived service innovativeness, image-congruence, satisfaction and behavioral outcomes at the customer level. It hypothesizes a moderated mediation model, denoting that perceived service innovativeness relates to image-congruity dimensions, which, in turn, will promote satisfaction at cognitive and affective level, thereby creating strong behavioral outcomes.

Data were collected through online surveys. The survey aimed at measuring the hypothesized constructs and other study-relevant information. Hypotheses were tested using the structural equation modeling technique.

This paper validates the role of perceived service innovativeness as a mechanism facilitating development and transfer of customer’s image-congruence toward a service firm. It also finds that the image-congruity dimensions fully mediate the relationship between perceived innovativeness and satisfaction. The resultant customer satisfaction leads to the development of behavioral outcomes. Further, the study finds that perceived innovativeness have varying effects on image-congruence dimensions depending upon customer’s prior experience.

The study provides evidence to managers that the customer-centric value creation through image-congruence requires development of positive perceived service innovativeness, which will result in customer satisfaction and their behavioral outcomes.

The study is the first attempt to find empirical support for the role of perceived service innovativeness to create customer’s image congruity with a service firm. Further, analyzing how perceived service innovativeness, image-congruence, customer satisfaction and behavioral outcomes are related to each other is also an important contribution.

The main purpose of this paper is to explain the preferences of consumers for using online payment services. This paper applies a unified theory model named stimulus-organism-response (S-O-R) theory for exploration.

This is quantitative research based on the structural equation modelling method. The stimulus-organism-response (S-O-R) theory was applied, whereby the author conducted an online survey through a structured questionnaire with users of mobile payment services. These consumers are using online payments for online shopping purposes. The survey was conducted all over India. The sample size is 355.

The study found that utilitarian, hedonic value and salesperson behaviour impact consumers satisfaction and behaviour while using online payment services. The study found that there is a significant direct relationship between consumer satisfaction and consumer behaviour. This study examines how financial mobile services contribute to e-commerce implementation, especially in the context of India.

This study incorporates a variety of factors, including the behaviour of salespeople, which affect consumer happiness, satisfaction and behaviour intention. This study reveals a direct relationship between consumer satisfaction and behavioural intention. Accordingly, the use of mobile banking and digital financial services has a positive impact on customer satisfaction. This study suggested that awareness about e-commerce services and mobile financial services is an important aspect of consumers satisfaction. Effective e-commerce services and mobile financial services have a positive impact on consumer behaviour.

This is a comprehensive model used for online payment services and directly related to emerging economies like India. This study examines the consumer willingness of the digital market in relation to online payment services. This study contributes to the relevant literature by simultaneously examining the role of e-commerce platform characteristics and online consumer psychology in influencing behavioural intention. Numerous factors have been revealed by this investigation.

The purpose of this article is to generate theory on how functional integration and conflict interrelate by studying the interface between production and purchasing.

An interpretive single case research methodology is adopted. The authors rely on in-depth interviewing of managers in the production and purchasing functions of a construction company, as well as by its suppliers.

Given low functional integration, antagonistic reasoning within each function and resultant conflicting behaviors are allowed to develop in a negative cycle, escalating the conflict between purchasing and production. This process leads to the creation of two opposing functional sourcing models that serve as blueprints for behavior.

The single case methodology was chosen to maximize depth and detail and form an ideal foundation for theory building. Future qualitative and quantitative studies should inquire further into the studied phenomenon to increase analytical and statistical generalizability of the proposed model.

The findings can help managers understand how poor integration between functions can develop into cross-functional conflict. Facing a conflicting functional relationship, managers must resort to conflict resolution methods, instead of attempting to integrate, as several integrative devices are not appropriate in conflicting interfaces.

The proposed model contributes by connecting the constructs of integration, group reasoning, and conflict, thereby generating knowledge on conflict development processes in cross-functional interfaces. Furthermore, the article contributes by uncovering the difficulties associated with implementing spend consolidation, a prevailing sourcing strategy.

This study aims to identify the precise competencies that employers are seeking for big data analytics professions and whether higher education big data programs enable students to acquire the competencies.

This study utilizes a multimethod approach involving three data sources: online job postings, executive interviews and big data programs at universities and colleges. Text mining analysis guided by a holistic competency theoretical framework was used to derive insights into the required competencies.

We found that employers are seeking workers with strong functional and cognitive competencies in data analytics, computing and business combined with a range of social competencies and specific personality traits. The exact combination of competencies required varies with job levels and tasks. Executives clearly indicate that workers rarely possess the competencies and they have to provide additional training.

A limitation is our inability to capture workers' perspectives to determine the extent to which they think they have the necessary competencies.

The findings can be used by higher educational institutions to design programs to better meet market demand. Job seekers can use it to focus on the types of competencies they need to advance their careers. Policymakers can use it to focus policies and investments to alleviate skills shortages. Industry and universities can use it to strengthen their collaborations.

Much closer collaborations among public institutions, educational institutions, industry, and community organizations are needed to ensure training programs evolve with the evolving need for skills driven by dynamic technological changes.

This is the first study on this topic to adopt a multimethod approach incorporating the perspectives of the key stakeholders in the supply and demand of skilled workers. It is the first to employ text mining analysis guided by a holistic competency framework to derive unique insights.

This paper provides an analytical theory of appropriateness judgments that introduces structural dimensions in the study of social rationality of organization members. This approach helps explore the coevolution of members’ relative position in structure and normative choices in their organization. Illustration of this approach is based on the study of controversial judicial decisions and dynamics of advice networks in a courthouse where lay judges have to choose between punitive and nonpunitive awards in cases of unfair competition in business. In this case, coevolution is facilitated by an endogenous process of centralization–decentralization–recentralization of advice networks over time, and by use of a procedural “weak legal culture” that helps align and homogenize conflicting normative choices among organization members. It is suggested that this approach to social rationality helps revisit our understanding of social processes, in this case collective learning and secondary socialization in organizations and flexible labor markets.

The purpose of this paper is to analyse the role of perceived value on post-acceptance behaviour for users of advanced mobile messaging services (AMMS). The paper also compares differences in the influence of perceived value on satisfaction and of satisfaction on loyalty to AMMS in Spain and Greece, to test the moderating effect of culture.

Partial least squares path modelling is used to test the model. Perceived value is modelled as a multidimensional reflective construct with four dimensions. Culture is studied at a national level. Differences between countries are tested using the multigroup analysis approach proposed by Henseler et al. (2009).

Perceived value contributes significantly to satisfaction. Satisfaction also has a significant effect on loyalty. Regarding the moderating effect of culture, the influence of perceived value on satisfaction is higher in Greece than in Spain. The authors report similar findings for the effect of satisfaction on loyalty, demonstrating the relevant moderating role of cultures with different degrees of masculinity, uncertainty avoidance and collectivism.

This cross-cultural comparison enables mobile phone companies to understand how to provide the greatest value with AMMS in each country in order to increase user satisfaction and loyalty to the service.

This is one of the first studies that develops cross-cultural research to analyse the post-acceptance of mobile services. It analyses the effect of perceived value and satisfaction, making an original comparison of two countries generally considered too similar to be compared.