Online Information Review

Tsai, Chih-Fong ; Hu, Ya-Han ; George Ke, Shih-Wen

2014 Online Information Review

doi: 10.1108/OIR-11-2013-0253

Purpose – Ranking relevant journals is very critical for researchers to choose their publication outlets, which can affect their research performance. In the management information systems (MIS) subject, many related studies conducted surveys as the subjective method for identifying MIS journal rankings. However, very few consider other objective methods, such as journals’ impact factors and h -indexes. The paper aims to discuss these issues. Design/methodology/approach – In this paper, top 50 ranked journals identified by researchers’ perceptions are examined in terms of the correlation to the rankings by their impact factors and h -indexes. Moreover, a hybrid method to combine these different rankings based on Borda count is used to produce new MIS journal rankings. Findings – The results show that there are low correlations between the subjective and objective based MIS journal rankings. In addition, the new MIS journal rankings by the Borda count approach can also be considered for future researches. Originality/value – The contribution of this paper is to apply the Borda count approach to combine different MIS journal rankings produced by subjective and objective methods. The new MIS journal rankings and previous studies can be complementary to allow researchers to determine the top-ranked journals for their publication outlets.

Bonsón, Enrique ; Bednarova, Michaela ; Escobar-Rodríguez, Tomás

2014 Online Information Review

doi: 10.1108/OIR-07-2013-0181

Purpose – The current study extends the investigation into online relationship building by examining how Eurozone companies belonging to the EURO STOXX 600 index use the popular video platform YouTube to facilitate dialogic communication with their stakeholders. The purpose of this paper is to analyse the extent and main purposes of the channel's usage, the companies’ activities and online practices, as well as the factors on this platform influencing the channel's activity, the audience, and the stakeholders’ engagement. Design/methodology/approach – To achieve this goal a sample of 306 Eurozone companies listed in the STOXX Europe 600 index, including 19 subsectors and 12 countries, have been analysed. Stakeholder and dialogic theory were applied as a theoretical background for this study. Findings – The results indicated that 44 per cent of companies studied have an official YouTube channel, which is mostly used for promotional purposes. It was found that the size of the company, the sector, and its country of origin determine YouTube channel activity, and that higher activity leads to a higher number of subscribers, thus fostering an initial step to better stakeholder engagement. Originality/value – Given that this is the first study of its kind to provide this type of analysis, the resulting unique contributions may provide value to the information systems field and also contribute to the advancement of information systems research.

Xie, Iris ; Stevenson, Jennifer

2014 Online Information Review

doi: 10.1108/OIR-11-2013-0261

Purpose – The purpose of this paper is to investigate the applications of social media in digital libraries and identify related problems. Design/methodology/approach – A total of ten institutions were selected from the following cultural institution types – public libraries, academic libraries, museums, government, and international organisations – to represent a variety of digital libraries developed or sponsored by different types of organisations. The social media applications were examined with regard to the following aspects: types of social media, placement of social media, updating social media, types of interactions, and types of functions. Findings – This study presents the types of social media applications in the selected digital libraries and further characterises their placements, update frequency, types of interactions between digital librarians and users, as well as various types of roles they played. In the process of analysis the authors also identified problems related to lack of standards, creating two-way communication channels, and the lack of education functions. Research limitations/implications – Further research needs to expand the selection of institutions and digital libraries to have more representative sampling, in particular institutions that are outside North America and Europe. It is also important to perform in-depth content analysis of social media to identify patterns and functions that social media perform. Moreover the authors will compare specific social media tools, such as Twitter, Facebook, etc., across institutions. In order to explore fully the reason why certain social media tools are implemented in digital libraries, it is important to survey or interview digital librarians of digital libraries in different types of cultural institutions. In addition users can be interviewed to solicit their perspectives about their usage of social media in digital libraries. Originality/value – This study not only examines the current status and problems of social media application in digital libraries but also offers suggestions on making good use of social media to connect users and digital libraries.

Alina Christensen, Ingrid ; Schiaffino, Silvia

2014 Online Information Review

doi: 10.1108/OIR-08-2013-0187

Purpose – The purpose of this paper is to propose an approach to generate recommendations for groups on the basis of social factors extracted from a social network. Group recommendation techniques traditionally assumed users were independent individuals, ignoring the effects of social interaction and relationships among users. In this work the authors analyse the social factors available in social networks in the light of sociological theories which endorse individuals’ susceptibility to influence within a group. Design/methodology/approach – The approach proposed is based on the creation of a group model in two stages: identifying the items that are representative of the majority's preferences, and analysing members’ similarity; and extracting potential influence from members’ interactions in a social network to predict a group's opinion on each item. Findings – The promising results obtained when evaluating the approach in the movie domain suggest that individual opinions tend to be accommodated to group satisfaction, as demonstrated by the incidence of the aforementioned factors in collective behaviour, as endorsed by sociological research. Moreover the findings suggest that these factors have dissimilar impacts on group satisfaction. Originality/value – The results obtained provide clues about how social influence exerted within groups could alter individuals’ opinions when a group has a common goal. There is limited research in this area exploring social influence in group recommendations; thus the originality of this perspective lies in the use of sociological theory to explain social influence in groups of users, and the flexibility of the approach to be applied in any domain. The findings could be helpful for group recommender systems developers both at research and commercial levels.

Soto-Acosta, Pedro ; Jose Molina-Castillo, Francisco ; Lopez-Nicolas, Carolina ; Colomo-Palacios, Ricardo

2014 Online Information Review

doi: 10.1108/OIR-01-2014-0008

Purpose – The purpose of this paper is to develop a research model that examines the effect of information overload and information disorganisation upon customers’ perceived risk and purchase intention online in a single integrative model. In addition the paper investigates whether internet experience moderates these relationships. Design/methodology/approach – To achieve the paper's objectives an experiment that involved visiting the ten most visited e-commerce web sites in Spain was conducted. Hypotheses were tested by using structural equation modelling on a data set of 1,396 online shopping customers. Findings – The results suggest a positive relationship between information overload and customer purchase intention and that internet experience reinforces this positive effect. Moreover the results confirm that the relationship between information disorganisation and customer purchase intention is not significant and that internet experience does not moderate the relationship. The findings also indicate that perceived risk mediates the relationship between information overload and information disorganisation on customer purchase intention. Originality/value – This work contributes to the literature by exploring the phenomenon of information overload and information disorganisation upon customers’ perceived risk and purchase intention in the e-commerce environment as well as the moderating effect of internet experience on these relationships in a single integrative model. The main conclusions of this investigation can be valuable to organisations that implement or intend to implement e-commerce.

Vaughan, Liwen

2014 Online Information Review

doi: 10.1108/OIR-08-2013-0190

Purpose – The purpose of this paper is to examine the feasibility of discovering business information from search engine query data. Specifically the study tried to determine whether search volumes of company names are correlated with the companies’ business performance and position data. Design/methodology/approach – The top 50 US companies in the 2012 Fortune 500 list were included in the study. The following business performance and position data were collected: revenues, profits, assets, stockholders’ equity, profits as a percentage of revenues, and profits as a percentage of assets. Data on the search volumes of the company names were collected from Google Trends, which is based on search queries users enter into Google. Google Trends data were collected in the two scenarios of worldwide searches and US searches. Findings – The study found significant correlations between search volume data and business performance and position data, suggesting that search engine query data can be used to discover business information. Google Trends’ worldwide search data were better than the US domestic search data for this purpose. Research limitations/implications – The study is limited to only one country and to one year of data. Practical implications – Publicly available search engine query data such as those from Google Trends can be used to estimate business performance and position data which are not always publicly available. Search engine query data are timelier than business data. Originality/value – This is the first study to establish a relationship between search engine query data and business performance and position data.

Moral, Paz ; Gonzalez, Pilar ; Plaza, Beatriz

2014 Online Information Review

doi: 10.1108/OIR-12-2013-0267

Purpose – Online advertising such as Google AdWords gives small and medium-sized enterprises access to new markets at reduced costs. The purpose of this paper is to analyse the visibility and performance of a website and to test the effectiveness of online marketing using the data provided by Google Analytics. Design/methodology/approach – The authors use a class of econometric time series models with unobservable components, Structural Time Series Models (STSM). The authors allow for time-varying trends to take into account the non-stationary behaviour displayed by time series. The authors illustrate the model using daily data from a local tourist website. Three specific questions are addressed: do paid keywords campaigns increase the volume and quality of search traffic? Do paid keywords affect the volume and quality of the unpaid traffic? How do paid and unpaid keywords perform? Findings – The results for the case study show that: first, online campaigns affect traffic volume positively but their effectiveness on traffic quality is uncertain; second, paid keywords do not affect the volume and quality of unpaid traffic; third, the increase in traffic volume is not always due to the paid keywords and the lowest quality visits come from paid traffic. Practical implications – This analysis may help webmasters to design successful online advertising strategies. Originality/value – This study contributes to the development of user-friendly methodologies to monitor website performance. The analysis shows that STSM is a suitable methodology to test the effectiveness of online campaigns and to assess the changes over time in the performance of a website.