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This paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve website effectiveness. Users' activities on the hotel's website on yearly, monthly, daily and hourly basis are examined and compared, demonstrating the power of informatics and data analytics.

A total of 29,976 hourly Weblog files from 1 August 2014 to 31 December 2017 were collected from a luxury hotel in Hong Kong. ANOVA and post-hoc comparisons were used to analyse the data.

Users' browsing behaviours, particularly stickiness, on the hotel website differ on yearly, monthly, daily and weekly bases. Users' activities increased steadily from 2014 to 2016, but dropped in 2017. Users are most active from July to September, on weekdays, and from noon to evening time. The month-, day-, and hour-based behaviours changed through years. The analysis of big data determines strategic and operational management and marketing decision-making.

Understanding the usage patterns of their websites allow organisations to make a range of strategic, marketing, pricing and distribution decisions to optimise their performance. Fluctuation of website usage and level of customer engagement have implications on customer support and services, as well as strategic partnership decisions.

Leveraging the power of big data analytics, this paper adds to the existing literature by performing a comprehensive analysis on the temporal dynamics of users' online browsing behaviours.

The purpose of this paper is to investigate the effect of reward type on knowledge contribution behavior. Individual knowledge contribution, which determines the effectiveness of information systems, benefits the organization at the cost of individual advantage as knowledge is usually considered highly private or even a source of individual prestige. Therefore, organizations provide rewards to compensate for their contributors’ knowledge loss. Surprisingly, some scholars report a positive relationship between reward and knowledge contribution, while others find this relationship to be insignificant or even negative. Based on regulatory focus theory, this study proposes and tests that such inconsistencies result from disparity between reward type and knowledge contribution measures.

A between-group laboratory experiment with 144 undergraduate student is designed and hierarchical regression is applied to test the hypotheses.

An incremental reward (additional reward for attaining outstanding achievements) aroused individual promotion focus, leading to an increase in self-perceived knowledge contribution (self-reported) and knowledge contribution quantity (experiment observers rated), but a decrease in knowledge contribution quality (peer rated). However, a decremental reward (deducted for errors) primed individual prevention focus, leading to an increase in self-perceived knowledge contribution (self-reported) and knowledge contribution quality (peer rated), but a decrease in knowledge contribution quantity (experiment observers rated).

The findings help explain why previous empirical results on the reward-knowledge contribution relationship were inconsistent and add to extant literature by introducing a new theoretical perspective for understanding motivation in knowledge management research.

The purpose of this paper is to examine the theoretical/conceptual development and application of weblog‐textmining to fashion forecasting in general and street fashion trending in particular.

The current methods of forecasting cannot keep pace with the changing dynamics of the marketplace – mostly due to the rampant diffusion of data/information. The company that can tap the continual flow of data/information in the present, contrast it with a stored set of information from the past, and adjust based on repeated cycles, will have the best insight into the lingering trend, changing trend, or dynamic trend. The paper uses a simple example to explain blog trend analysis using Nielsen BuzzMetrics' BlogPulse.

The study finds that to make fashion weblog forecasting a reality, there needs to be a rich accumulation of fashion communication in structured blogs. In addition, there needs to be a classification of the various forms of industry web text, web venue. Furthermore, rich research traditions must be in place to chronicle the cultural, behavioral, linguistic, socioeconomic, and communication behaviors over time for the weblog and the fashion weblogger in particular.

The changing dynamics of the fashion business makes it a good example for understanding the weblog‐text mining approach developed in this paper.

The understanding and implementation of trend forecasting using blogs as data mining sources will add another dimension of forecasting techniques to survive the multi‐channel revolution in fashion marketing.

The paper aims to report the level of awareness, ownership and use of weblogs by librarians in Nigeria.

The study adopts a survey research approach using online survey software to elicit information on issues relating to librarians' awareness, knowledge, ownership and use of weblogs.

Data analysis shows that librarians demonstrate remarkable level of awareness and knowledge about weblogs and their benefits to professional practice and services but they neither own nor use the technology.

The study was limited by a low response rate to the survey. Less than 7 per cent of the members of the online NLA forum used for the data collection responded. This implies that internet culture is still in its formative stage among librarians in Nigeria.

The paper concludes by enunciating the need for awareness creation, training and re‐training programmes for librarians to start creating and maintaining personal and institutional weblogs and other social networking media that could enhance professional practice and services.

The study promises to sensitize librarians and other information professionals in Nigeria and other developing countries to the social values of weblogs and similar technologies in terms of communication, networking, knowledge sharing and other usefulness.

The paper contributes to empirical research on library use of Web 2.0 technologies in Nigeria and literature in the field of library and information science.

Although teacher educators have worked on improving pre‐service teachers' diversity awareness, researchers still face the challenge of pursuing a better approach to achieve the goal. In an era when educators are calling for evidence‐based practice, the purpose of this paper is to explore various ways in which both teacher‐education programs and general schools can integrate diversity issues into literacy teaching and learning. The paper undertakes this exploration on the basis of Gollnick and Chinn's cultural‐identity model and of weblog‐technology use.

The participants of this paper are 27 pre‐service teachers. The researchers set up a private group blog and invited all participants to be blog authors. The blog enabled the instructor to archive and categorize all posts and to continue to invite cohorts of pre‐service teachers to join the blog. Pre‐service teachers are placed in culturally and linguistically diverse classroom settings and are required to post their weekly reflections on the weblog. The researchers adopte mixed methodology to collect both qualitative data (field observation reports, discussion content on the blog, case studies, and focus groups) and quantitative data (pre‐post surveys).

The pre‐service teachers in this paper possessed positive and open‐minded attitudes toward English language learners. According to the pre‐ and post‐survey, pre‐service teachers are confident that they could resolve issues related to diversity in the classroom after participating in the paper. According to the results of the case‐scenario analysis, the instructor should use reading contexts to address diversity issues, especially those pertaining to exceptionality, geography, class, and gender. The pre‐service teachers' discussions and interactions on the blog were rich. Pre‐service teachers felt motivation to expand their diversity‐themed discussions from the classroom to the blog.

With the assistance of weblogs, the instructor can extend the in‐class discussion. In the paper, group blogs became a tool that helped the instructor and the pre‐service teachers not only link the in‐class discussion to their field observations but also share personal experiences and resources. For introverted pre‐service teachers, a group blog can serve as a channel through which the pre‐service teachers can comfortably express carefully organized opinions. In general, the commenting feature of the blog enriches interaction among pre‐service teachers and widens their discussion in a way in which limited class time cannot.

We advance theory of how founder identity affects business model (BM) design during new venture creation and contribute to the cognitive perspective on BMs. We look at BM design as a longitudinal process involving a variety of cognitive work that is co-shaped by the founder identity work. Based on an in-depth nine-year process study of a single venture managed by three founders, we observed that a novelty-centered BM design resulted from cognitive work co-shaped by founder identity construction and verification processes. Yet, more remarkably, we noted that founder identity verification decreased over time and observed a process that we labeled “identity-business model decoupling.” It meant that the founders did not alter their founder identity but, over time, attentively grew self-aware and mindfully disengaged negative identity effects to design an effective BM. Our results provide a dynamic view on founder identity imprinting on ventures’ BMs and contribute to the identity, BM, and entrepreneurship literatures.

The aim of this paper is to address and discuss usage and implications of a weblog in a corporate communication context from an employees' perspective.

The paper is a case study of a government agency's corporate blogging activity, traced through focus group interviews with the organizational bloggers and analyzed using situational analysis and thematic network analysis.

The study problematizes the predominant focus on the promises of interactivity and dialogue as a repeated positive motivation for corporate bloggers by shedding a light on blogging as experienced from inside an organization. The study shows that employee bloggers use the blog platform in a varied way and do not agree internally on the appropriate corporate blog usage. Four main positions that encapsulate the variation in blog usage – the official, the debater, the engineer and the passionate blogger – are identified, and the implications (opportunities and barriers) of blogging for the blogging employees' behavior and motivation are unfolded and discussed.

The findings are useful for managers to get insight into the challenges, barriers and opportunities, which employees experience when acting as bloggers on behalf of an organization, as well as when acting on other transparent Web 2.0 mediated communications platforms for corporate purposes. The findings also indicate and give recommendations to the internal resources required to support the employees when letting them out into the blogosphere.

The paper provides a documented, nuanced and deep insight and understanding into blog usage in a corporate context from the perspective of the employee bloggers. This insight is as critical to our understanding of blogging and social media in a corporate context, as it is to our understanding of transparent and participatory organizational culture.

The objective of this paper is to propose a consumer-behavior-based intelligence (CBBI) model to identify market structure so as to monitor product competition. Competitive intelligence extracted from Chinese e-business clickstream data is exploited to examine the relevance of consumers' heterogeneous behavioral feedback, namely, click, tag-into-favorite, time-of-browsing, add-into-cart, and remove-from-cart, to visualize the competitive product market structure and to predict product-level sales.

Our proposed CBBI model consists of visualization and prediction, which explore e-business clickstream data. We conduct the visualization and segmentation of market structure in the form of a perceptual map by employing K-means clustering algorithm and multidimensional scaling technique. Concurrently, we developed an updated Bayesian linear regression (BLR) to predict product-level sales by considering consumers' heterogeneous feedback. Our updated BLR specifically integrated the estimated knowledge of the previous periods to verify whether product sales are period-dependent due to the consumer memory effect in e-commerce, improving the conventional BLR of diffuse prior distribution setup in terms of mean absolute error (MAE) and root mean squared error (RMSE).

Considering the performance of consumers' heterogeneous actions, the present research visualized three different segments of the competitive market structure in a perceptual map, and its horizontal axis is shown as a signal of the ascending trend of product sales. The previous five-day period was ascertained to be the best size of a time window for the consumer memory effect on product sales prediction. This hypothesis is supported by the concept that product sales are period-dependent. The results of the proposed updated BLR indicate that consumer tag-into-favorite, add-into-cart, and remove-from-cart feedback have positive impacts on product-level sales while click and time-of-browsing have the opposite effect.

While the identified competitive product market structure elaborates consumer heterogeneous feedback toward alternative product choices, this paper contributes by extending those homogeneous consumer preferences-related marketing studies. The perceptual map's configuration in respect to period-dependent product sales facilitates the effective inclusion of consumer behavior application in product sales prediction research in e-commerce. This paper helps sellers and retailers better comprehend the impacts of heterogeneous feedback and the consumer memory effect on the degree of competition in the form of product sales. The research results also offer a managerial implication about shaping the competitive edge by conducting different product management strategies in e-commerce platforms.

This study uses the resource-based view (RBV) and isomorphism to investigate the influence of data-based resources (i.e. bigness of data, data accessibility (DA) and data completeness (DC)) on big data analytics (BDA) use under the moderation effect of organizational culture (i.e. IT proactive climate). It also analyzes the possible relationship between BDA implementation and value creation.

The empirical validation of the research model was performed through a cross-sectional procedure to gather survey-based responses. The data obtained from a sample of 190 IT executives having relevant educational backgrounds and experienced in the field of big data and business analytics were analyzed using structural equation modeling.

BDA usage can generate significant value if supported by proper levels of DA and DC, which are benefits obtained from the bigness of data (high volume, variety and velocity of data). In addition, data-driven benefits have stronger impacts on BDA usage in firms with higher levels of IT proactive climate.

The present paper has extended the existing literature as it demonstrates facilitating characteristic of data-based resources (i.e. DA and DC) on BDA implementation which can be intensified with an established IT proactive climate in the firm. Additionally, it provides further theoretical and practical insights which are illustrated ahead.

Enterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility.

The study relied on survey data from 485 banking professionals' perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed.

Based on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources.

The study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products.

This study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA implication to improving enterprises operations.