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Drawing from three areas of research, the authors propose a model for twenty-first century international teacher education. Through literacy, technology, and global citizenship education, future teachers can learn the interrelatedness of promoting human acceptance across national/political borders and global economic exigencies. As the movement of ideas, commerce, and people through means of improved transportation and computer technologies transform the notion of the nation state, diversity education will embrace international citizenship while remaining important in local and national contexts. Through focused teacher education, all of the academic disciplines hold promise for rich teaching and learning through critical literacy for an ecologically sound environment that ultimately will sustain global economical and political interrelations.

This paper aims to explore factors influencing university students’ intent to take formal lectures completely through e-learning with cloud meetings.

This study has surveyed Chinese students who have experienced e-learning with cloud meetings as well as traditional massive open online courses (MOOC) without live dialogues. The data are analysed based on structural equation modelling to assess factors influencing students’ intent to choose e-learning with cloud meetings.

The findings show that as per the technology acceptance model, e-learning students who find learning to be easier with cloud meetings than MOOCs believe cloud meeting courses to be more beneficial and thus are more willing to take e-learning with cloud meetings.

This study compares e-learning with cloud meetings with MOOCs without live dialogues for the first time to highlight the value of open dialogues in real time for effective e-learning.

Conciliation, mediation and arbitration are integral to free collective bargaining. In the wake of the repeal of the Industrial Relations Act there is a recognised need for people with counselling skills to help parties in disputes reach settlement.

Organizational learning continues to be an important issue for all types of firms. Managerial accounts of organizational learning are in high demand; for example, Senge’s The Fifth Discipline (Senge, 1990a) has sold over 500,000 copies in the U.S. Studies exploring the nature of knowledge creation, intellectual capital, and knowledge management have been on the rise, with recent papers being published for academics (McElroy, 2000; Nahapiet & Ghoshal, 1998; Nonaka, 1994), and practitioners (Brown & Duguid, 1998; Fryer, 1999). According to some experts, the ability to transform information into knowledge through organizational learning is a critical success factor for all businesses in the current knowledge-based economy (Davis & Botkin, 1994; Lei, Slocum & Pitts, 1999).

Discussions about conflict at work generally tend to revolve around examples of overt industrial action, taken against an employer by a group of well‐organised employees. As the service sector becomes increasingly prominent within the UK, this model is no longer adequate – if it ever was – since much action is covert and individualistic in nature. Moreover, managers themselves may also engage in activities designed to defy or subvert central policy initiatives. This monograph is concerned with an analysis of such activities in a night‐club environment, and is based on six years research during which one of the authors worked as an employee for a large service sector organisation. It illustrates graphically the way in which employees resisted management instructions, or sought to “get even” with individuals who had alienated them. The implications which this research suggests for improving systems of management in an environment such as this are assessed.

There are three main themes which run through this article. They are: (1) To examine the role which personnel management may play in a redundancy situation; (2) To ask if redundancy as a process can be justifiably conceived in psychological terms and investigated as such, and (3) To consider how the different stages of this process may be handled, from a social psychological point of view, and, further, what the effects of this may be on the remaining work force.

In both literature and policy documents, small and medium‐size enterprises (SMEs) are being advised to form networks as a route for acquiring the knowledge required to survive in rapidly changing and/or highly competitive markets. There is, however, only limited anecdotal evidence of the positive contribution that networks are a way of upgrading organisational learning and thereby enhancing the performance of small firms. Additionally, there appears to be minimal guidance available on how small firms might exploit networks as a route for improving their capabilities to acquire and utilise knowledge to enhance future performance. To acquire additional empirical data on these issues, a survey was undertaken to examine the learning style of small UK manufacturing firms participating in some form of cooperative relationship with other members of their market supply chain. Learning style in the survey was measured by seeking response to a scale which permits assessment of the degree to which the respondent firm is exhibiting a single‐ versus double‐loop learning style. A survey of small firms advisers to gain their view of the organisational competency was measured using a scale that identifies those areas of capability that have significant impact on the performance of small firms. Results indicate that firms involved in networks tend to adopt a double‐loop (or higher‐order) learning style, whereas non‐network firms mainly appear to be autonomous single‐loop learners. When compared with non‐network firms, respondent organisations who participate in networks tend to have a better developed, more formalised knowledge management system. Furthermore, small firm advisers perceive that the creation of a formalised knowledge management system is reflected by such firms exhibiting a higher level of organisational competence across some of the areas of marketing, HRM and information management. The implications of these findings are discussed in relation to how small firms might be assisted in becoming involved in learning networks as a path for improving their knowledge management capabilities. Some qualitative, illustrative examples of small business learning networks are provided. Additionally, proposals are presented on the need for further research.

The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

Using a multi‐method approach, this paper presents both a qualitative and quantitative examination of workplace conflict, the emotional reactions to bullying and counterproductive behaviors. Three studies were undertaken for the present research. Data for Study 1 emerged from semi‐structured interviews conducted with 50 group leaders and members from six workgroups in two large organizations. Interviews were transcribed and analyzed using systematic interpretative techniques. Findings from Study 1 showed that conflict induced a variety of emotional and behavioral responses. Data from Study 2 were collected from 660 employees from 7 public sector organizations using a structured open‐ended survey. Results from Study 2 revealed that the majority of respondents perceived their managers as bullies. Study 3 surveyed 510 staff in 122 workgroups from five organizations. Regression analysis revealed that differing conflict events were associated with bullying, emotional reactions and counterproductive behaviors. In particular, prolonged conflict increased incidents of bullying. Higher levels of bullying were predictive of workplace counterproductive behaviors such as purposely wasting company material and supplies, purposely doing one's work incorrectly and purposely damaging a valuable piece of property belonging to the employer.

Food choice is influenced by a range of factors, including sensory attributes and beliefs about the nutritional value of the foods. It is difficult to determine the relative importance of beliefs about nutritional and sensory attributes to foods. It is necessary to examine these within an overall framework. The attitudes model developed by Fishbein and Ajzen is presented as a framework within which such comparisons can be made. It has been shown to be useful in a variety of studies of food choice. The relative importance of different types of beliefs can be assessed within this approach by examining the relationship between individual beliefs (or groups of beliefs) and either attitude or behaviour. In a number of studies sensory attributes have been found to be more important for table salt use, snack food consumption and consumption of foods contributing highly to fat in the diet. In the case of low‐fat milk consumption, however, nutritional beliefs were found to be more important than beliefs about the sensory attributes of the milks or their suitability for different uses.