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The labor regulatory framework in India provides a conducive environment for social dialogue and collective participation in the organizational decision-making process (Venkata Ratnam, 2009). Using data from a survey of workplace union representatives in the federal state of Maharashtra, India, this paper examines union experiences of social dialogue and collective participation in public services, private manufacturing, and private services sector. Findings indicate that collective worker participation and voice is at best modest in the public services but weak in the private manufacturing and private services. There is evidence of growing employer hostility to unions and employer refusal to engage in a meaningful social dialogue with unions. These findings are discussed within the political economy framework of employment relations in India examining the role of the state and judiciary in employment relations and, the links between political parties and trade unions in India.

This chapter aims to contribute to the literature on sustainability in the public sector by discussing how human resource and human resource management can help to integrate environmental management into organizations and improve environmental performance. Public sector scholars have neglected the study of Green Human Resource Management (GHRM) until now. Nevertheless, implementing such practices could lead to positive outcomes regarding awareness of environmental issues, organizational reputation and attractiveness, job satisfaction and organizational performance. The authors discuss the relevance and the necessity of developing a field of research on GHRM in public organizations. Starting from a conceptual review of the main literature on GHRM, this chapter provided some directions for future research.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

This chapter is aimed at filling two important gaps in the large literature on high-involvement work system (HIWS). First, the existing literature tends to focus on North America and Western Europe, and detailed information on HIWS outside of the two regions (especially Asia) is still limited. Second, while there is a large body of quantitative evidence, the literature is relatively scant on detailed account of exactly how specific HIWS practices are implemented in the real workplace. This chapter draws on our extensive field research at firms in Japan, the United States, and Korea, and presents real-world examples of HIWS of firms in Japan, Korea, and the United States. Our detailed account of the implementation of HIWS in the three countries points to an intriguing process of transnational diffusion of HIWS. Japanese firms as early experimenters of HIWS posed a challenge to U.S. firms in the global marketplace, resulting in the trans-pacific diffusion of HIWS which is modified to the U.S. corporate culture. Due to its geographical proximity and historical connections to Japan, Korean firms were initially heavily influenced by Japanese HIWS. However, with the rising link to the United States and Europe, Japanese influence appears to have been waning, and interest in U.S. style HIWS and European-style state-mandated works council has risen, suggesting that a hybrid model may be emerging in Korea.

This chapter provides an in-depth understanding of the cognitive processes that facilitate creativity from a multi-level perspective. Because cognitive processes are viewed as residing within the individual and as an individual-level phenomenon, it is not surprising that a plethora of research has focused on various cognitive processes involved in creative production at the individual level and the factors that may facilitate or hinder the successful application of these processes. Of course, individuals do not exist in a vacuum, and many organizations are utilizing teams and groups to facilitate creative problem solving. We therefore extend our knowledge from the individual to the team level and group level, providing more than 50 propositions for testing and discussing their implications for future research.

We extend the classical garbage can model to examine how individual differences in ability and motivation will influence organizational performance. We find that spontaneous coordination provided by an organized anarchy is superior when agents are equally competent. The Weberian bureaucracy of planned coordination is effective when problems require specialist knowledge. However, errors in matching problems to specialized agents are a central challenge for bureaucracies. Actual organizations, therefore, combine elements of organized anarchies and bureaucracies. Heterogeneous motivation compounds coordination problems, but is usually less important than competence. Our findings point to matching and interactive learning as fruitful areas for further study.

It’s been nearly 30 years since the original articulation of Appreciative Inquiry in Organizational Life was written in collaboration with my remarkable mentor Suresh Srivastva (Cooperrider & Srivastva, 1987). That article generated more experimentation in the field, more academic excitement, and more innovation than anything we had ever written. As the passage of time has enabled me to look more closely at what was written, I feel both a deep satisfaction with the seed vision and scholarly logic offered for Appreciative Inquiry (AI), as well as well as the enormous impact and reverberation. Following the tradition of authors such as Carl Rogers who have re-issued their favorite works but have also added brief reflections on key points of emphasis, clarification, or editorial commentary we have decided to issue a reprint the early article by David L. Cooperrider and the late Suresh Srivastva in its entirety, but also with contemporary comments embedded. To be sure the comments offered are brief and serve principally to add points of emphasis to ideas we may have too hurriedly introduced. My comments – placed in indented format along the way – are focused on the content and themes of furthermost relevance to this volume on organizational generativity. In many ways I’ve begun to question today whether there can even be inquiry where there is no appreciation, valuing, or amazement – what the Greeks called thaumazein – the borderline between wonderment and admiration. One learning is that AI’s generativity is not about its methods or tools, but about our cooperative capacity to reunite seeming opposites such as theory as practice, the secular as sacred, and generativity as something beyond positivity or negativity. Appreciation is about valuing the life-giving in ways that serve to inspire our co-constructed future. Inquiry is the experience of mystery, moving beyond the edge of the known to the unknown, which then changes our lives. Taken together, where appreciation and inquiry are wonderfully entangled, we experience knowledge alive and an ever-expansive inauguration of our world to new possibilities.

This article presents a conceptual refiguration of action-research based on a “sociorationalist” view of science. The position that is developed can be summarized as follows: For action-research to reach its potential as a vehicle for social innovation it needs to begin advancing theoretical knowledge of consequence; that good theory may be one of the best means human beings have for affecting change in a postindustrial world; that the discipline's steadfast commitment to a problem solving view of the world acts as a primary constraint on its imagination and contribution to knowledge; that appreciative inquiry represents a viable complement to conventional forms of action-research; and finally, that through our assumptions and choice of method we largely create the world we later discover.

It’s been thirty years since the original articulation of “Appreciative Inquiry in Organizational Life” was written in collaboration with my remarkable mentor Suresh Srivastva (Cooperrider & Srivastva, 1987). That article – first published in Research in Organization Development and Change – generated more experimentation in the field, more academic excitement, and more innovation than anything we had ever written. As the passage of time has enabled me to look more closely at what was written, I feel both a deep satisfaction with the seed vision and scholarly logic offered for Appreciative Inquiry, as well as well as the enormous impact and continuing reverberation. Following the tradition of authors such as Carl Rogers who have re-issued their favorite works but have also added brief reflections on key points of emphasis, clarification, or editorial commentary I am presenting the article by David Cooperrider (myself) and the late Suresh Srivastva in its entirety, but also with new horizon insights. In particular I write with excitement and anticipation of a new OD – what my colleagues and I are calling the next “IPOD” that is, innovation-inspired positive OD that brings AI’s gift of new eyes together in common cause with several other movements in the human sciences: the strengths revolution in management; the positive pscyhology and positive organizational scholarship movements; the design thinking explosion; and the biomimicry field which is all about an appreciative eye toward billions of years of nature’s wisdom and innovation inspired by life.

This article presents a conceptual refigurationy of action-research based on a “sociorationalist” view of science. The position that is developed can be summarized as follows: For action-research to reach its potential as a vehicle for social innovation it needs to begin advancing theoretical knowledge of consequence; that good theory may be one of the best means human beings have for affecting change in a postindustrial world; that the discipline’s steadfast commitment to a problem solving view of the world acts as a primary constraint on its imagination and contribution to knowledge; that appreciative inquiry represents a viable complement to conventional forms of action-research; and finally, that through our assumptions and choice of method we largely create the world we later discover.

Novel ideas emerge from conversational interaction dynamics in meetings that are organizational practices of interaction. Drawing from meeting science with a focus on multiparty talk in meetings as communicative events, we refer to interaction dynamics as sequences of verbal statements. We explore patterns of verbal statements in idea generation processes in an explorative, inductive field study of ministerial think tank meetings. These are recurring agile meetings with interactive, free-flowing communication. By utilizing the validated, fine-grained act4teams coding scheme, we differentiate between task-related, procedural, and socio-emotional statements made in these meetings. Our findings show that the interactions within agile meetings are characterized by intensified turn-taking, overlapping speech, and joint heightened involvement. By means of lag sequential analysis, we find that novel ideas emerge from interaction cycles of task and socio-emotional statements. Among the latter, active listening expressed by “mm” or “yeah” is of particular importance for triggering novel ideas. As such, we reveal the micro-level emergence of novel ideas in conversational interaction by highlighting the facilitative function of active listening.