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Introduction Operations research, i.e. the application of scientific methodology to operational problems in the search for improved understanding and control, can be said to have started with the application of mathematical tools to military problems of supply bombing and strategy, during the Second World War. Post‐war these tools were applied to business problems, particularly production scheduling, inventory control and physical distribution because of the acute shortages of goods and the numerical aspects of these problems.

The purpose of this study is to examine factors affecting mobile phone users' attitude toward watching TV content on a mobile device. Under the uses and gratifications theory, the current study examined attitude toward watching TV content on a mobile phone, with antecedents of affinities for both watching TV content and a mobile phone use.

The current study adopted a construct of relative advantage as a mediator between affinities and attitude, and four moderators that affect the relationship between relative advantage and attitude. The study then analyzed 430 survey responses from public mobile phone users with a generalized linear model.

Research findings reveal that both affinities are significantly associated with the relative advantage of watching TV content on a mobile phone. Relative advantage plays a salient role in explaining attitudes toward watching TV content on a mobile phone. The relationship between attitude and relative advantage was significantly affected by relaxation, fashion status and accessibility.

This study contributes to media literature, especially where new, applied technology is considered. Particularly, the current research theoretically explains rationale behind a mobile phone user's positive attitude toward watching TV content on a mobile phone, and potential implication of the current and increasing trend of broadcasting individual content through social media outlets.

The purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations.

The study tests the proposed model using responses from 353 students who were exposed to the new method. Regression analysis was used to test the hypotheses.

The results show that both the perceived social (e.g. reduction in comparison bias) and utilitarian (e.g. presentation originality) benefits increase satisfaction with the online video presentation method, from both the creator's and the learner's perspectives.

This study provides several guidelines to instructors employing blended learning methods, as well as designers of platforms that enable blended learning.

This study provides a model to understand the determinants of learners' satisfaction with a new blended learning method. It looks at these determinants from both the content creators' perspective and the content viewer's perspective.

This study explores the factors influencing the value of enterprise social media (ESM) from the perspective of compatibility. Establishing a theoretical model based on compatibility theory, the authors examine the effects of two dimensions of compatibility and the mediating effects of employees' intrinsic motivations. ESM is an important tool that helps companies to enhance knowledge sharing and cross-department collaboration. Thus, it is important to understand factors that can facilitate the role of ESM in improving enterprise operating performance.

The authors conducted a survey among 353 users of a leading ESM platform and empirically investigated how compatibility influences ESM value through employees' intrinsic motivations. Structural equation modeling (SEM) was applied to study the relationship among compatibility, employees' intrinsic motivations and ESM value.

The empirical research results indicate that compatibility of self-interest with group interest influences the value of ESM, and intrinsic motivations toward collaboration and toward knowledge management partially mediate the effects of the two dimensions of compatibility on ESM value.

First, the empirical analysis relies on data from surveying employees of Chinese companies. Therefore, one direction for future research is to reexamine the model using data from other countries. Second, the effects of compatibility identified in the study may vary among different ESM platforms. In addition, the findings may change for organizations having different sizes.

This finding suggests that managers should pay close attention to potential conflicts of interest when implementing ESM to enhance group communication and collaboration. This study also highlights the importance of compatibility of new working processes with experience in practice. In addition, intrinsic motivations towards both cooperation and knowledge management in ESM are important factors influencing the value creation of ESM. Therefore, to cultivate employees' intrinsic motivation, managers and organizations need to facilitate the formation of a collaborative atmosphere and habits of cooperative adoption.

Although previous studies show that compatibility is a strong belief salient to technology acceptance and continuance usage behavior, the operational definition of compatibility developed by prior studies has generally been limited to the technology perspective and the individual level. However, the primary benefit of ESM is enabling online team collaboration and knowledge sharing across various departments. Thus, the level of compatibility between employees' self-interests and group interests may influence their intrinsic motivations toward ESM usage. From this perspective of individual–group interest conflicts, the authors propose a conceptual research model based on the theory of compatibility in innovation diffusion.

This study presents evidence concerning the effects of affective and cognitive rhetoric on the underpricing of firms at the time of their initial public offering. It is suggested that firms that use less affective, and more cognitively oriented discourse in their IPO prospectus will experience better underpricing outcomes. We examine these assertions using a sample of young high-tech IPO firms where investors rely on prospectuses as accurate and informative firm communications. Results from a robust five-year time span observe initial support for the hypothesized effects. Moreover, the signaling of a higher degree of entrepreneurial orientation in the firm prospectus is found to worsen the negative effects of affective discourse

The paper seeks to compare, through empirical evidence, two widely adopted models (the Technology Acceptance Model (TAM) and the Diffusion of Innovations (DoI) model) to an underutilized one (Perceived Characteristics of the Innovation) in order to examine which is better in predicting consumer adoption of internet banking (IB), while investigating innovation attributes vis‐à‐vis other important predictors of adoption of innovations, such as consumer personal characteristics.

The data derive from both users and non‐users of IB through a web survey. The paper assesses the psychometric properties of the measures through confirmatory factor analysis and then employs logistic regression analysis in order to assess and compare the ability of the models to accurately predict consumer adoption of IB.

The paper finds that PCI performed significantly better than TAM and DoI in predicting consumer adoption of IB, whereas the addition of consumer demographics and psychographics further improved the predictive ability of the overall logit model.

Limitations of the study include the non‐random nature of the IB non‐users sample, and the fact that this was a study of a single shopping context (i.e. banking). Non‐usability innovation characteristics are important predictors of consumer adoption of technologically based innovations. Bank managers should reconsider their segmentation and targeting strategies in the light of more refined as well as new segmentation criteria.

The PCI model has never been examined within online contexts. The paper also incorporates other non‐usability types of characteristics (i.e. social, psychological) into TAM and DoI, and identifies the moderating role of shopping context, between innovation characteristics and decision to adopt.

The purpose of this paper is to empirically examine the performance of the alternative IS/IT adoption models used more frequently in the citizen centric adoption of e‐government systems. Such analysis will not only provide a trend about the models and subsequent constructs being utilized in this area of research but also guides us toward laying a foundation for the formulation of an alternative integrated model for citizen centric adoption of e‐government services.

The relevant secondary data from 87 research studies on citizen centric e‐government services were analysed to examine the performance of some of the most frequently used alternative models (e.g. technology acceptance model (TAM), diffusion of innovation|innovation diffusion theory (DOI|IDT), DeLone and McLean IS success model, unified theory of acceptance and use of technology (UTAUT), and theory of planned behaviour (TPB)) of IS/IT adoption in this area of research.

The findings of this research indicate that TAM is by far the best suited model for analysing citizen centric adoption of e‐government services. It was also found that although diffusion of innovation|innovation diffusion theory (DOI|IDT) is the second highly used model, only three of its constructs (i.e. compatibility, complexity, and relative advantage) were in use across various studies. Moreover, it was visualised that constructs such as triability and observability were never used in the e‐government context. Similarly, the constructs from TPB have not been used up to the presence of the model across various studies. All the constructs (i.e. performance expectancy, effort expectancy, and social influence) of the UTAUT model, except facilitating conditions, have been used quite regularly.

This research evaluates the various IS/IT adoption research models being used in e‐government adoption only on the basis of their performances across the existing research studies. The evaluation of the performance of such models may not reflect their true picture only through meta‐analysis.

This paper presents a comprehensive meta‐analysis of some of the most frequently used IS/IT adoption models in the context of e‐government adoption research. Such analysis would help us picking up the most appropriate models and/or their constructs for developing an alternative model for our research.

This study aims to examine the drivers and outcomes of the usage intention of branded mobile applications (apps), revealing findings of theoretical and practical relevance. First, it uncovers the specific technological features that underpin the perceived usefulness and ease of use of branded apps driving (directly and indirectly) usage intention. Second, it outlines two key outcomes that are relevant to the strategic management of branded apps: willingness to recommend the app and willingness to pay to continue using the app.

This study uses data randomly derived from a panel of one million UK consumers, analyzed via structural equations modeling. The unit of analysis was individual apps prominently displaying a brand identity. The study tested indirect relationships between the key drivers considered and usage intention via perceived usefulness and ease of use.

Consumers who view branded apps as protecting their privacy, customizable and compatible with what they do, will have stronger perceptions of usefulness and ease of use and greater intention to use the app. These effects also occur indirectly. Furthermore, usage intention drives the willingness to recommend the app and to pay to continue using it.

To influence usage intention, managers can improve the perception of usefulness of branded apps by protecting consumer privacy and improving the app’s design and its compatibility with people’s needs and lifestyle. Managers can also enhance the perception of ease of use of the branded app by heightening its security and ubiquity. Combined, these factors can enhance (directly and indirectly) the intention to use the app, which will lead to the willingness to recommend the app and pay for it.

This study extends previous research by examining factors driving the intention to use branded apps and the resulting outcomes. It also offers a model that yields predictions for individual branded apps (not the brand powering the app), thus providing practical recommendations on how to manage, in general, apps with a brand identity.

The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.

The purpose of this paper is to draw on resource orchestration theory (ROT) and resource advantage theory (RAT) to develop a measurement scale for supply chain competitive advantage (SCCA) as a second-order construct with the dimensions of agility, adaptability and alignment (triple-A).

A survey research design is adopted to collect primary and secondary data from 182 international firms. The paper utilizes a scale development procedure to develop a measurement instrument and assess its psychometric properties. The scale’s predictive validity is tested using both subjective and objective data. Additionally, the simultaneous effect of triple-A is tested using latent congruent modeling.

Drawing upon ROT and RAT, this study introduces SCCA as a second-order construct composed of SC agility, adaptability and alignment. In addition, the findings show that an SCCA has a direct and positive impact on firms’ financial and market performance.

Existing literature indicates that competition has shifted from inter-firm to inter-SC. To account for this change in competition level, past studies have suggested various capabilities that SCs must possess to offer a competitive advantage, such as triple-As. However, drawing upon RAT and ROT, the authors argue that the SCCA construct accounts for sources of advantage in both the resource side and the demand side. The authors further assert that possessing supply chain resources (i.e. agility, adaptability, alignment as disparate resources) is not sufficient to create advantage but the resources must be orchestrated to create SCCA (i.e. the combination of agility, adaptability and alignment).