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This viewpoint study aims to make the case that the field of knowledge management (KM) must respond to the significant changes that big data/analytics is bringing to operationalizing the production of organizational data and information.

This study expresses the opinions of the guest editors of “Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics”.

A Big Data/Analytics-Knowledge Management (BDA-KM) model is proposed that illustrates the centrality of knowledge as the guiding principle in the use of big data/analytics in organizations.

This is an opinion piece, and the proposed model still needs to be empirically verified.

It is suggested that academics and practitioners in KM must be capable of controlling the application of big data/analytics, and calls for further research investigating how KM can conceptually and operationally use and integrate big data/analytics to foster organizational knowledge for better decision-making and organizational value creation.

The BDA-KM model is one of the early models placing knowledge as the primary consideration in the successful organizational use of big data/analytics.

Surveillance is seen as an important tool to prevent security breaches and may improve prosecutorial ability, but employees may engage in subtitle counterproductive behaviors in protest. This poses significant risks and costs to employers. The purpose of this paper is to summarize the results of a previous field study of the influences from justice perceptions as mitigation and prescribe some methods for addressing the issues that are raised.

Drawing from protection motivation theory, the psychological contract, and the systems of organizational justice, a threat control model about surveillance attitudes is field‐tested in a randomized design.

Trust and perceptions of justice mediated attitudes about surveillance practices; and threat severity and efficacy of surveillance in maintaining security moderated attitudes about corporate surveillance are founded.

The paper illustrates the theoretical linkages between surveillance practices and employee counterproductive behaviors. Grounded in these findings, an explanation for how security managers might balance the simultaneous demands for security while maintaining an effective workforce is presented.

This chapter presents an analysis illustrating the evolution of information systems’ development based on three interdependent phases. In the first period, information systems were mainly considered as a strictly technical discipline. Information technology (IT) was used to automate manual processes; each application was treated as a separate entity with the overall objective of leveraging IT to increase productivity and efficiency, primarily in an organizational context. Secondly, the introduction of networking capabilities and personal computers (instead of fictitious terminals) has laid the foundations for a new and broader use of information technologies while paving the way for a transition from technology to its actual use. During the second phase, typical applications were intended to support professional work, while many systems became highly integrated. The most significant change introduced during the third era was the World Wide Web, which transcended the boundaries of the Internet and the conventional limits of IT use. Since then, applications have become an integral part of business strategies while creating new opportunities for alliances and collaborations. Across organizational and national boundaries, this step saw a transformation of IT in the background. These new ready-to-use applications are designed to help end-users in their daily activities. The end-user experience has become an essential design factor.

This study examines motivational factors influencing one's intention to continue using WWW applications. Social cognitive theory is adapted and integrated with expectancy disconfirmation theory and empirical findings from prior studies about continued use of information systems. Research hypotheses derived from this model are empirically validated using the responses to a survey on WWW usage, collected from 235 users. Results suggest that users’ continuance intention is determined by their satisfaction with prior use, internet self‐efficacy, and outcome expectations. Outcome expectation, in turn, is influenced by their satisfaction with prior use and prior perceived confirmation. This study draws attention to the substantial differences between acceptance and continuance. Implications for practice and further research are considered.

Drawing upon the literature of Uses and Gratifications (U & G) Theory, the purpose of this paper is to propose that entertainment, information seeking, socialization, and self-presentation are the motivational factors affecting continuance intention of social media. This paper further investigates the moderating effects of cultural difference and socio-economic status on the link between these motivational factors and continuance intention.

Data collected from the 493 active users of Facebook in five countries (Australia, Austria, Japan, Taiwan, and the USA) were used to test the proposed model. Partial least squares method was used to assess the relationships in the model and the subgroup analysis method was employed as well to examine the moderating roles of cultural difference and socio-economic status.

Information seeking exerts stronger effect on continuance intention for users from individualistic cultures, while socialization, and self-presentation has stronger influence on continuance intention for users from collective cultures. Entertainment has stronger influence on continuance for high educated users, whereas self-presentation has stronger influence on continuance intention for users with lower level of education. Finally, the effect of entertainment, information seeking on continuance intention is stronger for users with higher level of income, while self-presentation has stronger influence on continuance intention for users with lower level of income.

This study is one of first studies to extend the research context of U & G Theory from adoption of social media to continuance intention of social media. This study is also the first to investigate the moderating roles of cultural difference and socio-economic statuses in social media usage behavior simultaneously.

The current study aims to investigate college students' behavioral intentions to adopt e-textbooks for their studies according to well-known theoretical intention-based models.

This paper empirically assesses five theoretical models of technology acceptance, including the theory of planned behavior (TPB), the technology acceptance model (TAM), the decomposed TPB model (DTPB), the combined model of TAM and TPB (C-TAM-TPB), and the unified theory of acceptance and use of technology (UTAUT). The survey methodology and structural equation modeling (SEM) were employed to examine and compare these five models. Moreover, explanatory power, goodness-of-fit indices, and model parsimony were taken into consideration in the model comparisons.

Both TPB and TAM provided less effective but adequate predictive behavioral power. However, TPB appeared to be more parsimonious than TAM and the other models. By focusing on specific beliefs of attitude, social and control influences, DTPB shares many of the same advantages as TPB and TAM, but is less parsimonious. Similarly, C-TAM-TPB, an augmented version of TAM that incorporates social influences and behavioral control, is superior to TPB and TAM in terms of its explanatory power of behavioral intention to use e-textbooks. Overall, however, the results indicated that UTAUT appeared to be the best model in terms of the metrics of parsimonious fit and explanatory power.

Theoretical comparison of different models is important. This is believed to be the first study to present model comparisons by investigating undergraduates' intention to adopt e-textbooks as tools for their on-campus learning in Taiwan.

The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes.

Online survey data from 242 ihergo members were used to test the proposed model, and structural equation modeling with partial least squares was performed to analyze the measurement and structural models.

The findings show that the four types of trust identified in this study are critical determinants of perceived risk and attitude. In addition, the majority of the antecedents are found to be associated with their respective types of trust.

The research extends the theory of reasoned action and prior research to discuss four types of consumer trust, as well as their respective antecedents and subsequent consequences. The result is a more descriptive model that better explicates consumers’ decision-making processes in online shopping.

Given the intense competition between online shopping sites, web site managers should strive to provide a safe and user-friendly shopping environment. In addition, the vendor can enhance trust by encouraging satisfied customers to provide positive endorsements.

This study is possibly the first of its kind, in identifying the four types of trust and their respective antecedents in the context of an online group-buying auction, and thus serves to enrich the existing literature concerning trust-building factors.

The self-service technology (SST) launched outside libraries has received great attention in Taiwan. This automatic book stop (ABS), FastBook, has raised some interesting issues regarding users’ behavior in the library context. The purpose of this paper is: first, to assess critical variables that contribute to users’ acceptance of SST in the library context; second, to propose an integrated SST acceptance model in terms of technological and individual factors; and third, to further examine the gender differences among all the theoretical relationships proposed in this research model.

Based on a sound theoretical foundation, the authors proposed a research model to investigate users’ intention to adopt FastBook, including both technological and individual factors. The survey methodology and structural equation modeling were used in this study.

The proposed model successfully accounted for about 92 percent of the total variance explained in attitude and 45 percent in behavioral intention (BI). Individuals’ attitudes toward FastBook had a significant impact on their usage intention. All three technological characteristics (perceived ease of use, usefulness, and reachability) and one individual trait (self-efficacy) were confirmed as critical determinants of attitude. Note that the effect of self-efficacy on attitude was much stronger for male than for female users.

The SST launched outside libraries has received great popularity and extended the library service to readers in Taiwan. This research connected actual users’ experience and the SST literature to provide a conceptual understanding of FastBook adopting process.

This study extends the viewpoint of “fit as holistic configurations” to explore how to use knowledge management (KM) processes and knowledge management system (KMS) capabilities appropriately according to the tasks characteristics subunits perform in an aerospace manufacturer. In this regard, the aim is to develop four theoretical ideal profiles of KM processes (socialization, externalization, combination, and internalization) and KMS capabilities (codification capability and network capability) for organizational subunits based on their task characteristics: focused, process‐oriented tasks; focused, content‐oriented tasks; broad, process‐oriented tasks; and focused, content‐oriented tasks.

The empirical study was conducted at a knowledge intensive and engineering‐oriented aerospace company. Twelve functional subunits performing a variety of tasks were selected as the samples. The study employed qualitative and quantitative methods to understand the subunits' task attributes. The authors collected data from 12 subunits, and a total of 212 valid questionnaires were analyzed. PLS‐Graph was used to assess the relationships of the research model.

The empirical support for the argument that the fit among KM processes, KMS capabilities and task characteristics can improve KM performance. Results reveal that fit significantly affects knowledge satisfaction, knowledge quality and creativity for subunits performing focused, process‐oriented and broad, process‐oriented tasks.

The findings reflect the fact that individuals within organizational subunits should use the four KM processes of appropriate levels to generate new knowledge to accomplish their tasks.

The study uses a multidimensional and multi‐item approach to test the effect of factors on KM performance, and is the first to identify ideal profiles of KM process and KMS capability for different organizational subunits.