Purpose
Social media remarkably changed the way of interaction between the consumers and organizations. The increased acceptance of social media has given rise to social commerce (s-commerce) and s-commerce usage is gradually increasing over the last few years. The progressive development of technologies suggests that s-commerce will become the mainstream for marketing and a literature survey indicates that there have not been many studies in this area. The purpose of this paper is to predict the factors influencing consumer intention towards the adoption of s-commerce.
Design/methodology/approach
This study uses a survey approach with reference to important behavioural factors such as satisfaction, ethics, trust, enjoyment/easiness, social pressure and awareness. The research model was developed to be in line with the available literature. The data were collected using a five-point Likert scale and the research model was tested using least square regression.
Findings
The results showed that user intention is significantly and positively related to perceived trust, enjoyment/easiness, social pressure, satisfaction and awareness. Also, “intention” was found to be a significant mediating factor for actual usage.
Research limitations/implications
First, the questionnaire was a “snap-shot” instead of longitudinal study. Second, future research should use other moderating variables that may affect the usage of social media. Also the study could apply a variant of research methods to include other techniques such as interviews, which allow for deeper understanding of the problem and issues.
Practical implications
Social media represents an important platform for electronic commerce and has one of the most metamorphic impacts on business. Therefore, investigating the usage of s-commerce with reference to important behavioural factors could provide valuable information for companies in establishing policies and strategies. It could also be useful for management studies and researchers in understanding the consumers’ attitude towards usage of social media for commercial purposes.
Social implications
S-commerce creates opportunities for firms. Based on findings this research provides insights with major implications for marketers, who would like to generate direct sales on social network platforms.
Originality/value
Existing literature focusses largely on the effectiveness of social media. Only a handful has endeavoured to analyse s-commerce systems and the literature on consumers’ behaviour in using s-commerce is not mature yet. This study is one of the few studies in this field, and aims to predict and explain the user acceptance of social media for commercial purposes.
The present paper begins by introducing a number of observations on the applications of information technology (IT) in the field of human resource management (HRM) in general. This is due to the fact that IT and its wide range of applications have already made their presence felt in this area. This will be followed by a report on the findings of a survey on the present trends in organizations with in the different sectors in Turkey. Although the impact of IT on HRM has long been attracting the interest of academics, no empirical research has ever been realized in this field in Turkey, and few studies have been reported elsewhere. The survey was conducted among the 106 IT managers and professionals from various sectors, based on whose results, the data shows that IT is used extensively in the organizations to perform HRM functions in Turkey's dynamic economy. The results also indicated that, while IT has an impact on all sectors in terms of HRM to certain extent, the types of IT used vary significantly between recruitment, maintenance, and development tasks. However, the empirical results here reveal that these organizations are not applying these technologies systematically and maturely in the performance of HRM functions.
This paper proposes a framework for the evaluation and validation of software complexity measure. This framework is designed to analyze whether or not software metric qualifies as a measure from different perspectives. Unlike existing frameworks, it takes into account the practical usefulness of the measure and includes all the factors which are important for theoretical and empirical validation including measurement theory. The applicability of the framework is tested by using cognitive functional size measure (CFS). The testing process shows that in the same manner the proposed framework can be applied to any software measure. A comparative study with other frameworks has also been performed. The results reflect that the present framework is the better representations of most of the parameters which are required to evaluate and validate a new complexity measure.
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