• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.759-766
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• 2021

In this digital age, all organizational environments force businesses to adopt Information and Communication Technologies (ICT) since these technologies have immense impact on such businesses' competitiveness and productivity. Nonetheless, the productivity and the competitiveness enjoyed by such firms vary depending on the size or the organizations, context of the country; developing or developed, and what kinds of technologies are adopted. This investigation focused on small- and medium-sized enterprises (SMEs) of Eastern province of Sri Lanka where such studies are scanty. The adoption of social media (SM) by SMEs is inclined to change how organizations operate, this calls for an investigation of the elements that impact SMEs to adopt SM and such investigation. Technology-Organization-Environment (TOE) framework was based to understand the factors. Research approach was quantitative approach using questionnaire survey. Data were collected using online form to see 285 valid responses. Structural Equation Modelling was deployed to evaluate the proposed model. Results revealed that Relative Advantage, Compatibility, Complexity, Observability, Competitive Intensity, Bandwagon Pressure, and Competitive Pressure were influencing, while Trialability, Top Management Support, CEO's Innovativeness did not show statistically significant influence on SMEs' social media adoption.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.586-594
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• 2022

Objectives: This study investigated the effectiveness of the social marketing mix approach in increasing students' knowledge about smoking, promoting positive attitudes toward smoking cessation, and decreasing smoking behavior. Methods: This quantitative research study incorporated a quasi-experimental method with a pretest-posttest non-equivalent group design. Using the purposive sampling technique, 152 smoking students were selected as participants. They were divided into 2 equal groups, with 76 students in the control group and 76 in the intervention group. The data were collected using questionnaires and analyzed with the chi-square test, independent t-test, Wilcoxon signed-rank test, and Mann-Whitney U-test. Results: The social marketing mix intervention was effective in increasing the students' knowledge about smoking (p<0.001), improving their attitude toward smoking cessation (p<0.001), and reducing their smoking behavior (p=0.014). Conclusions: This approach should be implemented by local governments to reduce smoking behavior in the community, especially among teenagers, in addition to instituting a smoking ban and applying fines.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.271-280
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• 2021

Purpose - This research aims to investigate the influence of social exclusion on conspicuous consumption. Specifically this research suggested that the influence of social exclusion on conspicuous consumption would be different depending on consumers' psychological characteristics such as internal attribution tendency and self-esteem. Design/methodology/approach - The experiment was conducted to verify hypotheses. 110 sample data were collected from the experiment and SPSS PROCESS Macro was used for data analysis. Findings - The result revealed that the interaction effect of social exclusion and internal attribution was significant. Specifically, social exclusion had on positive impact on conspicuous consumption for consumers with high level of internal attribution tendency. In addition, conspicuous consumption was pronounced for consumers having both high level of internal attribution and low level of self-esteem. Research implications or Originality - The result is expected to expand the research scope on social exclusion and conspicuous consumption, and provide practical implications for marketers.

• Journal of the Korean Geographical Society
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• v.42 no.4
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• pp.560-581
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• 2007

The purpose of this paper is to present a conceptual framework and a stage of development of trust building and to study the factors affecting on the trust building in economics space. Conceptual framework on trust building in economics space is combined of in the three approaches. The macro(structural and institutional) approach includes normative and regulative factors(laws, norms), and positionality in social and economic systems(beliefs, political ideologies, institutions). The meso(intersubjective) approach contains the personal fronts(expressive factors, social cues, significant symbols) and settings(physical space, intermediary such as technologies & knowledges). The micro(subjective) approach comprises the willingness(internalization of value) and calculation(risk and uncertainties analysis) of economic actors. According to sustainable cooperation among economic actors, trust building to the macro(structural and institutional) level, the meso(intersubjective) level, and the micro(subjective) level develop by stages. The factors such as long-term and repeated interaction, information sharing and reciprocity, interdependence and asset specificity, uncertainty, proximity, and culture & norm of corporate and formal institution are determinants on the trust building across economic actors in economic space.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.1-37
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• 2012

The purpose of this paper is to estimate the social costs induced by various transport modes such as truck, rail and sea vessel. For this purpose, we introduce the damage function of each transport modes, and estimate social costs for 10 items using Meta Analysis. As a results, this study can find that shipping is the most efficient transport mode because it gives the lowest social costs among them. This study also find that the iso-cost transport distance that gives the equal social costs between the transport modes. Our methodology can be thought somewhat inferior to the Contingent Valuation Methods, however the advantage of this methodology is that we can decomposite the total social costs into item by item and can apply it to other researches.

• Knowledge Management Research
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• v.12 no.2
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• pp.69-80
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• 2011

This paper reports on a structural view of a knowledge network comprised of clubs and organisationsexpressly concerned with cultural activities in a regional Australian city. Social network analysis showed an uneven distribution of power, influence, and prominence in the network. The network structure consisted of two modules of vertices clustered around particular categories of creative arts and these modules were linked most frequently by several organisations acting as communication hubs and boundary spanners. The implications of the findings include 'network weaving' for improving the network structure and developing a systemic approach for exploring the structures of social action that form community-based knowledge networks.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.337-351
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• 2016

As technologies' life-cycle shortens and their development directions are uncertain, firms' technology planning capability becomes increasingly important. Prior patent-based studies using technology growth curves identify developmental stages of technologies, thereby formulating technology development directions from an overall perspective. However, a technology generally consists of multiple sub-technologies and accordingly their development stages are likely various. In this regard, the prior studies failed to identify core sub-technologies and their specific development directions. Therefore, we suggest an approach consisting of 1) identifying core sub-technologies of a given technology using patent co-classifications and social network analysis, and 2) identifying each sub-technology's development stage and thereby determining its further development direction. We apply our approach to patents related to augmented reality to examine its applicability. It is expected that our approach will help identify evolving development stages for the core sub-technologies of a given technology, thereby effectively assisting technology experts in technology planning processes.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.331-336
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• 2015

On the IoT-based sensor networks, users or sensor nodes must perform a Service Discovery (SD) procedure before access to the wanted service. Current approach uses a center-concentrated Resource Directory (RD) servers or P2P technique, but these can cause a point-of-failure or flooding of SD messages. In this paper, we proposes an improved SWoT SD approach for CoAP-based sensor networks, which integrates Social Web of Things (SWoT) concept to current CoAP-based SD approach that makes up for weak points of existing systems. This new approach can perform a function like a keyword or location-based search originated from SNS, which can enhances the usability. Finally, we implemented a real system to evaluate.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.145-155
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• 2019

The strength or resilience of refugees is a less emphasized area as the discourse in refugee mental health study mainly weighs on pathologizing the effects of refugee experiences. Within the lenses of strength and resilience, this study explored how refugees and asylum seekers, who experienced violence and loss, coped with trauma and hardship in their newly established lives in South Korea. In this study we analyzed survey data collected from 100 participants (55 asylum seekers and 45 refugees) through open-ended questions. We analyzed narratives for both content and form and provided evidence for factors that reflect coping strategies used by participants to overcome their life adversities. The findings gave rise to; (a) character traits like strong religiosity, personal determination, patience to forbear, hopefulness, and peaceful acceptance of current circumstance; (b) relationships, in the sense of meaningful strong bonds within family members and the instinctive personal resourcefulness to utilize support resources within and outside of their communities; (c) learned skills after migraing to korea; (d) knowledge sets in how to get by in korea; (e) personal talents, and (f) extra abilities that gave power to pass socio-economic difficulties. The findings underscore the importance of considering the strength-based approach either in discussing resilience or intervention. Our approach will allow practitioners to acknowledge that refugees and asylum seekers potentially have a unique set of strengths and abilities that they rely on to overcome their immediate and future problems. It will also guide practitioners as they devise their intervention schemes.