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The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Max Weber called the maxim “Time is Money” the surest, simplest expression of the spirit of capitalism. Coined in 1748 by Benjamin Franklin, this modern proverb now has a life of its own. In this paper, I examine the worldwide diffusion and sociocultural history of this paradigmatic expression. The intent is to explore the ways in which ideas of time and money appear in sedimented form in popular sayings.

My approach is sociological in orientation and multidisciplinary in method. Drawing upon the works of Max Weber, Antonio Gramsci, Wolfgang Mieder, and Dean Wolfe Manders, I explore the global spread of Ben Franklin’s famed adage in three ways: (1) via evidence from the field of “paremiology” – that is, the study of proverbs; (2) via online searches for the phrase “Time is Money” in 30-plus languages; and (3) via evidence from sociological and historical research.

The conviction that “Time is Money” has won global assent on an ever-expanding basis for more than 250 years now. In recent years, this phrase has reverberated to the far corners of the world in literally dozens of languages – above all, in the languages of Eastern Europe and East Asia.

Methodologically, this study unites several different ways of exploring the globalization of the capitalist spirit. The main substantive implication is that, as capitalism goes global, so too does the capitalist spirit. Evidence from popular sayings gives us a new foothold for insight into questions of this kind.

This article attempts to synthesize the contributions of Jagdish Sheth to the discipline. This is done by following the development of the field in various subdisciplines such that one can observe the impact Sheth's thinking has had on the field. This is the career of an “accidental marketer” who started as a social scientist, got interested in buyer behavior, and made his mark in that field. Noticing similarities between organizational buyer behavior and individual buyer behavior, he ventured into that field too. As a visionary, he started developing theories in international marketing in the seventies, which was a popular area that time. Similarly, he published a handbook on Customer Relationship Marketing and worked in the area before it became a major area of emphasis. As a multifaceted person, he has contributed to the practitioners through books and consulting projects. However, this article focuses mainly on his academic contributions including his research, teaching/mentoring, and his philanthropic activities.

Despite the long-standing interest of sociologists in the impact of social structure on the psychological well-being of individuals, the structural contexts of the support process remain understudied. To begin to fill this gap, some support researchers have used social statuses to tap location in the social structure. Others have analyzed the interpersonal environments in which individuals are embedded by using quasi-network data that describe categories of alters or, less commonly, network data linked to specific alters. We use network data to test models that examine: (1) direct effects of network structure on perceived adequacy of social support; and (2) their direct and indirect effects (through social support) on psychological distress — net of social status effects. Our results suggest that the social network context is more important in the support process than researchers using quasi-network data have concluded.